100 books like Escape from Model Land

By Erica Thompson,

Here are 100 books that Escape from Model Land fans have personally recommended if you like Escape from Model Land. Shepherd is a community of 11,000+ authors and super readers sharing their favorite books with the world.

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Book cover of Option Trading: Pricing and Volatility Strategies and Techniques

Ernest P. Chan Author Of Quantitative Trading: How to Build Your Own Algorithmic Trading Business

From my list on quantitative trading for beginners.

Why am I passionate about this?

A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.

Ernest's book list on quantitative trading for beginners

Ernest P. Chan Why did Ernest love this book?

Disclaimer: I like Euan’s books not because he is a friend and has endorsed my books. Long before we became friends, I have bought his book, and said to myself “Wow! This is the first book about options trading that is not just a bunch of trite statements about payouts from various straddles and spreads positions!” It talks about some unique arbitrage opportunities that only professionals knew about. On the other hand, the amount of mathematics is very manageable, and can largely be skipped without affecting the practical applications of the concepts. 

By Euan Sinclair,

Why should I read it?

1 author picked Option Trading as one of their favorite books, and they share why you should read it.

What is this book about?

An A to Z options trading guide for the new millennium and the new economy Written by professional trader and quantitative analyst Euan Sinclair, Option Trading is a comprehensive guide to this discipline covering everything from historical background, contract types, and market structure to volatility measurement, forecasting, and hedging techniques. This comprehensive guide presents the detail and practical information that professional option traders need, whether they're using options to hedge, manage money, arbitrage, or engage in structured finance deals. It contains information essential to anyone in this field, including option pricing and price forecasting, the Greeks, implied volatility, volatility measurement…


Book cover of An Introduction to Systems Biology: Design Principles of Biological Circuits

Charlie Hodgman Author Of BIOS Instant Notes in Bioinformatics

From my list on the intersection of Bioinformatics and Systems Biology.

Why am I passionate about this?

Mathematics and chemistry were my strongest subjects at school, and I started programming computers when I was 16, but life seemed most important. Hence I studied biochemistry in university but moved into molecular biology with programming to assist the data analysis. My track record in successfully predicting new biology through computing led to a pharmaceutical company recruiting me to do bioinformatics for them. However, not content with studying genes and proteins, I pushed for bioinformatics to move up into metabolism, anatomy, and physiology. That’s when I discovered systems biology. My international reputation lies at this interface and includes discoveries in microbial physiology, botany, agriculture, animal biology, and antenatal diseases.

Charlie's book list on the intersection of Bioinformatics and Systems Biology

Charlie Hodgman Why did Charlie love this book?

Of the various books available on this subject, I very much prefer this one because it makes it far easier to do systems biology.

First, it shows you how to view biological regulatory processes as a set of interacting components and their effect on each other. This alone can give clues to the behaviour of the system under different circumstances. However, it then goes on to show how these processes can be defined mathematically, which then enables us to get a quantitative view of what is going on.

When the predicted and observed numbers don’t match, we know that there is a gap in our knowledge and, hence, the place to discover new biology. Using this approach, I have.

By Uri Alon,

Why should I read it?

1 author picked An Introduction to Systems Biology as one of their favorite books, and they share why you should read it.

What is this book about?

Praise for the first edition:

... superb, beautifully written and organized work that takes an engineering approach to systems biology. Alon provides nicely written appendices to explain the basic mathematical and biological concepts clearly and succinctly without interfering with the main text. He starts with a mathematical description of transcriptional activation and then describes some basic transcription-network motifs (patterns) that can be combined to form larger networks. - Nature

[This text deserves] serious attention from any quantitative scientist who hopes to learn about modern biology ... It assumes no prior knowledge of or even interest in biology ... One final…


Book cover of The Physics of Rugby

John Eric Goff Author Of Gold Medal Physics: The Science of Sports

From my list on combine sports and Science.

Why am I passionate about this?

As a boy, I wanted to play baseball professionally. But, alas, talent was not within me, and I became one of the few people in the world who chose physics as a career because something else was too hard. Part of my career as a scientist is learning new things; another part is teaching and, hopefully, imbuing students with a love of science. The sports science books here all taught me a great deal, and I have recommended them to several of my students. Sports can be an excellent vehicle for learning some science, and such learning about a sport one loves can make watching the sport even more fun.

John's book list on combine sports and Science

John Eric Goff Why did John love this book?

I confess that I know Trevor Lipscombe, but I would add his book to this list if I did not know him. Like Haché’s book on ice hockey, I was out of my comfort zone while reading a book on rugby. As I write this, I am in the midst of my third sabbatical year. All three of my sabbatical years have been spent researching at universities in Sheffield, England. People are enthusiastic about rugby in England as well as in other parts of the world.

Not only did this book introduce me to a new way to apply physics, but it also taught me so much about rugby that I can cheer with mates in a pub while watching a match! It is the go-to book on rugby science.

By Trevor Davis Lipscombe,

Why should I read it?

1 author picked The Physics of Rugby as one of their favorite books, and they share why you should read it.

What is this book about?

What if Einstein played rugby? Surely Time Magazine's "Man of the Century" might offer useful tips and techniques to defeat the opposition? In this book, the world of physics joins forces with the world of rugby, to show you how to tackle harder, pass safer, run faster, and scrum better - all the things you need to do to win. Blending simple physics, the kind you meet in high school, with anecdotes and stories from the world of rugby, Trevor Lipscombe takes us on a journey from scrum ruck and maul, to the running and passing of the offence, the…


Book cover of Social Foraging Theory

Paul E. Smaldino Author Of Modeling Social Behavior: Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution

From my list on (human) behavior that reward working through the math.

Why am I passionate about this?

I am fascinated with the relationship between our individual behaviors and the social structures and institutions in which we live—and how these influence each over time. I think this sort of understanding is important if we want to consider the kind of world we want to live in, and how we might get there from where we are. I take insights from many disciplines, from physics and biology to the cognitive and social sciences, from philosophy and art to mathematics and engineering. I am currently a professor of cognitive and information sciences at the University of California, Merced, and an external professor at the Santa Fe Institute. 

Paul's book list on (human) behavior that reward working through the math

Paul E. Smaldino Why did Paul love this book?

I have always been fascinated by how people join and leave groups.

What are the benefits of joining a particular group? Which group should I join? What happens if someone wants to join a group, but its current members don’t want them to? I once thought such questions were merely qualitative, and when I was a graduate student I thought I’d be the first to tackle them quantitatively.

I was humbled when I stumbled upon this book, written years earlier, in which two behavioral ecologists review game theoretic models that address questions of just this sort, starting simple, and building up models of increasing nuance and complexity. I think anyone interested in the dynamics of group formation in humans or other animals should read this book. 

By Luc-Alain Giraldeau, Thomas Caraco,

Why should I read it?

1 author picked Social Foraging Theory as one of their favorite books, and they share why you should read it.

What is this book about?

Although there is extensive literature in the field of behavioral ecology that attempts to explain foraging of individuals, social foraging--the ways in which animals search and compete for food in groups--has been relatively neglected. This book redresses that situation by providing both a synthesis of the existing literature and a new theory of social foraging. Giraldeau and Caraco develop models informed by game theory that offer a new framework for analysis. Social Foraging Theory contains the most comprehensive theoretical approach to its subject, coupled with quantitative methods that will underpin future work in the field. The new models and approaches…


Book cover of Historical Dynamics: Why States Rise and Fall

Paul E. Smaldino Author Of Modeling Social Behavior: Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution

From my list on (human) behavior that reward working through the math.

Why am I passionate about this?

I am fascinated with the relationship between our individual behaviors and the social structures and institutions in which we live—and how these influence each over time. I think this sort of understanding is important if we want to consider the kind of world we want to live in, and how we might get there from where we are. I take insights from many disciplines, from physics and biology to the cognitive and social sciences, from philosophy and art to mathematics and engineering. I am currently a professor of cognitive and information sciences at the University of California, Merced, and an external professor at the Santa Fe Institute. 

Paul's book list on (human) behavior that reward working through the math

Paul E. Smaldino Why did Paul love this book?

Peter Turchin has gotten famous recently for predicting the US political upheaval of 2020 way back in 2012.

This book represents the first landmark of Turchin’s attempt to understand the ebbs and flows of history using dynamical models. The book’s centerpiece is a formalization of a theory about how empires rise and fall, first conceived by the 14th century (!) Arab scholar Ibn Khaldun.

The book inspired me to replicate the computational model it presents, and it was remarkably illuminating to watch empires grow, fight, and collapse on my computer screen. 

By Peter Turchin,

Why should I read it?

1 author picked Historical Dynamics as one of their favorite books, and they share why you should read it.

What is this book about?

Many historical processes are dynamic. Populations grow and decline. Empires expand and collapse. Religions spread and wither. Natural scientists have made great strides in understanding dynamical processes in the physical and biological worlds using a synthetic approach that combines mathematical modeling with statistical analyses. Taking up the problem of territorial dynamics--why some polities at certain times expand and at other times contract--this book shows that a similar research program can advance our understanding of dynamical processes in history. Peter Turchin develops hypotheses from a wide range of social, political, economic, and demographic factors: geopolitics, factors affecting collective solidarity, dynamics of…


Book cover of Vision: A Computational Investigation into the Human Representation and Processing of Visual Information

Mark S. Nixon Author Of Feature Extraction and Image Processing for Computer Vision

From my list on computer vision from a veteran professor.

Why am I passionate about this?

It’s been fantastic to work in computer vision, especially when it is used to build biometric systems. I and my 80 odd PhD students have pioneered systems that recognise people by the way they walk, by their ears, and many other new things too. To build the systems, we needed computer vision techniques and architectures, both of which work with complex real-world imagery. That’s what computer vision gives you: a capability to ‘see’ using a computer. I think we can still go a lot further: to give blind people sight, to enable better invasive surgery, to autonomise more of our industrial society, and to give us capabilities we never knew we’d have.

Mark's book list on computer vision from a veteran professor

Mark S. Nixon Why did Mark love this book?

David Marr shaped the field of computer vision in its early days. His seminal book laid the structure for interpreting images and one which is still largely followed. He popularised notions of the primal sketch and his work on edge detection led to one of the most sophisticated approaches. His work and influence continue to endure despite his early death: we missed and miss him a lot.

By David Marr,

Why should I read it?

1 author picked Vision as one of their favorite books, and they share why you should read it.

What is this book about?

Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions.

David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This…


Book cover of Credit Risk Modelling

Alain Ruttiens Author Of Mathematics of the Financial Markets: Financial Instruments and Derivatives Modelling, Valuation and Risk Issues

From my list on quantitative finance applied to financial markets.

Why am I passionate about this?

Having a master's degree in chemical engineering, I wasn't destined to work in the area of quantitative finance… the reason why I professionally moved to this discipline aren't worth exposing, but as a matter of fact, I've been quickly fascinated by this science, and encountered some of my favorites, such as maths and statistics, as used in the traditional activity of an engineer. And I had many opportunities of combining the knowledge and practice of financial markets with pragmatism, typically of the engineer’s education, i.e. oriented toward problem solving. In addition, I've always loved teaching, and writing books on financial markets & instruments, hence the importance I'm giving to pedagogy in professional books.

Alain's book list on quantitative finance applied to financial markets

Alain Ruttiens Why did Alain love this book?

In the vast array of quantitative finance relative to financial markets instruments and related risks, the case of credit or counterparty risk remains by far the most complex one, and thus, unsurprisingly, the least mastered by financial markets professionals.

A lot has been done, but a lot remains to be done: covering this is precisely the goal of this book. In a nutshell, the main obstacle to succeed in developing grounded and useful models of default prediction is due to the fact that a default is (fortunately) a rare event, in other words, with a (very) low probability of occurrence, and statistical tools are uncomfortable with very low probability levels. Hence the need of this book, to help the practitioner to go ahead in this matter.

By Terry Benzschawel,

Why should I read it?

1 author picked Credit Risk Modelling as one of their favorite books, and they share why you should read it.

What is this book about?

The book reveals to traders how to consistently outperform credit benchmarks, how to hedge the credit risk premium, and how to overcome pension liability deficits. In addition, several successful trading strategies are presented including debt versus equities, Co-Co bond trading and a quantitative analysis of the municipal bond market. Chapters include: Credit Models, Past Present and Future Predicting Annual Default Rates and Implications for Market Prices Risk and Relative Value in the Municipal Bond Market Contingent Collateral Bonds Model for Sovereign Default and Relative Value Beating Credit Benchmarks Analyzing and Hedging Systemic Liquidity Risk Building on the best-selling first edition,…


Book cover of Fortune's Formula: The Untold Story of the Scientific Betting System That Beat the Casinos and Wall Street

Barbara Rockefeller Author Of Technical Analysis For Dummies

From my list on for traders using technical analysis.

Why am I passionate about this?

Economics isn't really a good starting point for financial market analysis for the simple reason that its models are wildly inaccurate. As behaviorial economists like Daniel Kahneman have been showing, irrationality and the inability to measure risk properly are a very big component of the investment and trading decisions. But statistical risk management is also sloppy when applied to human behavior because people are not objects that reliably behave the same way under similar circumstances. So when you read an economist about markets or an engineer about risk management, you're missing a lot of the story. In the end, technical analysis is fascinating because how and why humans behave is an enduring mystery.

Barbara's book list on for traders using technical analysis

Barbara Rockefeller Why did Barbara love this book?

The subtitle is The Untold Story of the Scientific Betting System that Beat the Casinos and Wall Street. This book is an easy-to-read narrative of the intersection of the grimy underbelly of betting--with high-minded math. It reminds you that trading is not conducted in a clean little bubble. Technical analysis can give you an edge, but trading is still engaging in battle with opposing forces; strategy and tactics can count as much as building an elegant technical system. 

Your opponent on the trading battlefield will try to trick you, like a general in real warfare. He may keep selling and selling after you have bought, triggering a sell signal in your trading system. He is hunting for your sell signal. The mechanical response is to sell—your system says sell, and you should follow your system. To exit a position when the market goes against you is named a stop,…

By William Poundstone,

Why should I read it?

1 author picked Fortune's Formula as one of their favorite books, and they share why you should read it.

What is this book about?

In 1956, two Bell Labs scientists discovered the scientific formula for getting rich. One was mathematician Claude Shannon, neurotic father of our digital age, whose genius is ranked with Einstein's. The other was John L. Kelly Jr., a Texas-born, gun-toting physicist. Together they applied the science of information theory—the basis of computers and the Internet—to the problem of making as much money as possible, as fast as possible.

Shannon and MIT mathematician Edward O. Thorp took the "Kelly formula" to Las Vegas. It worked. They realized that there was even more money to be made in the stock market. Thorp…


Book cover of The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation

Jeremy Kepner Author Of Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs

From my list on the foundations of computing technology.

Why am I passionate about this?

Dr. Jeremy Kepner is head and founder of the MIT Lincoln Laboratory Supercomputing Center (LLSC), and also a Founder of the MIT-Air Force AI Accelerator. Lincoln Laboratory is a 4000-person National Laboratory whose mission is to create defensive technologies to protect our Nation and the freedoms enshrined in the Constitution of the United States. Dr. Kepner is one of five Lincoln Laboratory Fellows, a position that "recognizes the Laboratory's strongest technical talent for outstanding contributions to Laboratory programs over many years." Dr. Kepner is recognized as one of nine MIT Fellows of the Society of Industrial Applied Mathematics (SIAM), for "contributions to interactive parallel computing, matrix-based graph algorithms, green supercomputing, and big data." 

Jeremy's book list on the foundations of computing technology

Jeremy Kepner Why did Jeremy love this book?

What do pandemics, climate change, extreme weather, financial crises, wealth inequality, and social media all have in common? They are all well described by heavy-tail statistics, which you may have never heard about and were almost certainly never taught in your introductory statistics class. The Fundamentals of Heavy Tails is the first text that attempts to close this gap in undergraduate STEM education. This well-written text is a wonderful blend of intuition and rigorous results. The reader will be pleasantly surprised to learn that heavy-tail distributions are neither rare nor mysterious and are a natural result of multiplicative random processes.

By Jayakrishnan Nair, Adam Wierman, Bert Zwart

Why should I read it?

1 author picked The Fundamentals of Heavy Tails as one of their favorite books, and they share why you should read it.

What is this book about?

Heavy tails -extreme events or values more common than expected -emerge everywhere: the economy, natural events, and social and information networks are just a few examples. Yet after decades of progress, they are still treated as mysterious, surprising, and even controversial, primarily because the necessary mathematical models and statistical methods are not widely known. This book, for the first time, provides a rigorous introduction to heavy-tailed distributions accessible to anyone who knows elementary probability. It tackles and tames the zoo of terminology for models and properties, demystifying topics such as the generalized central limit theorem and regular variation. It tracks…


Book cover of Theory of Value: An Axiomatic Analysis of Economic Equilibrium

Thijs ten Raa Author Of Microeconomics: Equilibrium and Efficiency

From my list on microeconomics on how markets are interconnected.

Why am I passionate about this?

Microeconomics is a turnoff to most readers. Not without reason. Many books in this field are dull rewrites of other books and opaque.  In particular, it is not clear how the behavior of individual consumers and producers adds to the performance—good or bad—of an economy. The books listed here helped me to sharpen my own mind and to make my writing lucid.

Thijs' book list on microeconomics on how markets are interconnected

Thijs ten Raa Why did Thijs love this book?

As a math student I found economics a slippery subject and, therefore, was hesitant to read any book on the subject. 

Theory of Value is a short, formal manuscript, that includes the definition of an economy. It was the first book I read in economics and I loved it. It induced me to move to New York and to study the field.


By Gerard Debreu,

Why should I read it?

1 author picked Theory of Value as one of their favorite books, and they share why you should read it.

What is this book about?

"[This] beautiful and austere book . . . [is] an important landmark of economic theory."-F.H. Hahn, Journal of Political Economy
"An immortal classic of twentieth century economics. Every economist should own a copy."-Robert Lucas, University of Chicago
Theory of Value offers a rigorous, axiomatic, and formal analysis of producer behavior, consumer behavior, general equilibrium, and the optimality of the market mechanism for resource allocation.


5 book lists we think you will like!

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