Resources

- Linear Models

• Regression Models by Knieb

• Linear Regression Analysis by Douglas C. Montgomery, Elizabeth A. Peck, and G. Geoffrey Vining

• Linear Algebra and Linear Models by RB Bapat

- Time Series Analysis

• Introduction to Time Series and Forecasting by Brockwell and Davis

- Machine Learning

• Machine Learning and Pattern Recognition by CM Bishop

• Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani

• Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

• Deep Learning Book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

• Bayesian Data Analysis by Gelman

• Basic Econometrics by Damodar N. Gujarati

- Causal Inference

• Causal Inference in Statistics: A Primer by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell

• Mostly Harmless Econometrics by Joshua D. Angrist and Jörn-Steffen Pischke

• Causality: Models, Reasoning, and Inference by Judea Pearl

- General

• Ctanujit Blog

• Options, Futures, and Other Derivatives by John C. Hull

• Fixed Income Securities by Bruce Tuckman

• Stochastic Calculus for Finance II by Steven Shreve

• The Concepts and Practice of Mathematical Finance by Mark S. Joshi

• Stochastic Differential Equations by Bernt Øksendal

• Introduction to Stochastic Calculus by Rajeeva L. Karandikar & B. V. Rao

• Handbook of Financial Time Series

• Quantitative Trading by Ernst P Chan

• Basic Black-Scholes: Option Pricing and Trading by Timothy Falcon Crack

• Inside the Black Box: A Simple Guide to Quantitative and High-Frequency Trading by Rishi K. Narang

• Quantitative Primer

• Problem Solving Strategies by Arthur Engel

• Graph Theory by Douglas West

• Mathematical Puzzles by Martin Gardner

• 50 Challenging Problems in Probability by Frederick Mosteller

• Mathematical Puzzles by Peter Winkler

• Heard on the Street by Timothy Falcon Crack

• Practical Guide to Quantitative Finance Guide by Xinfeng Zhou

• Websites

• Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein

• Dynamic Programming Bootcamp IIT-GN

• DSA One Course

• Course on Competitive Programming

• CSES Problem Set

• The Cherno's C++ Playlist

• Effective STL

• Effective C++

• More Effective C++

• Effective Modern C++ by Scott Meyers

• Concurrency in Action

• Modern C++ Design

• The Art of Multiprocessor Programming

• CppNuts

• Modern Operating Systems by Mythili Vutukuru

• The Linux Programming Interface by Michael Kerrisk

• Coffee Can Investing by Saurabh Mukherjea

• Bernoulli's Fallacy by Aubrey Clayton

• Mathematical Mechanic by Mark Levi

• My Life as a Quant by Emanuel Derman

• Fooled by Randomness by Nassim Nicholas Taleb

• The Black Swan by Nassim Nicholas Taleb