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Optimal Control: Linear Quadratic Methods

de: Brian D. O. Anderson

This augmented edition of a respected text teaches the reader how to use linear quadratic Gaussian me
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Chance, Streaks & Statistics: The Math Behind Loot Boxes, Matchmaking, and Misleading Numbers

de: Adrian Keller

Probability is hiding in places you already know: loot boxes, streaks, matchmaking, rankings, coincid
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Introductory Econometrics for Finance

de: Mr Chris Brooks

A complete resource for finance students, this textbook presents the most common empirical approaches
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What Every Engineer Should Know About Risk Engineering and Management

de: John X. Wang

Completely updated, this new edition uniquely explains how to assess and handle technical risk, sched
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Principles and Techniques in Combinatorics

de: Chuan Chong Chen

"This book should be a must for all mathematicians who are involved in the training of Mathematical O
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A Probability Path

de: Sidney I. Resnick

Many probability books are written by mathematicians and have the built-in bias that the reader is as
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Risk Assessment and Decision Analysis with Bayesian Networks

de: Norman Fenton

Since the first edition of this book published, Bayesian networks have become even more important for
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Machine Learning for Factor Investing: Python Version

de: Guillaume Coqueret

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic t
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Bayesian Data Analysis, Third Edition

de: Andrew Gelman

Winner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow in its thir
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Game Balance

de: Ian Schreiber

Within the field of game design, game balance can best be described as a black art. It is the process
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Lottery Tickets Are Just A Tax On People Who Are Bad At Math | Lottery Ticket Book

de: Lou Rette

This lottery ticket holders gift is a fun and insulting all at once. You could make a point and ruin
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Interacting Particle Systems

de: Thomas M Liggett

From the Reviews: "A complete treatment of a new class of random processes...The high quality of this
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Machine Learning with Quantum Computers

de: Maria Schuld

This book offers an introduction into quantum machine learning research, covering approaches that ran
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A Practical Guide to Implementing Statistical Methods

de: Aina Katsikas

A Practical Guide to Implementing Statistical Methods provides readers with an understanding of stati
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An Introduction to Statistical Learning: with Applications in Python

de: Gareth James

An Introduction to Statistical Learning provides an accessible overview of the field of statistical l
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Inference in Statistical Modelling and Machine Learning: A Concise Introduction

de: James Burridge

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to mo
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Large Language Models: A Deep Dive: Bridging Theory and Practice

de: Uday Kamath

Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact w
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Philosophies, Puzzles and Paradoxes: A Statistician's Search for Truth

de: Yudi Pawitan

Aimed at undergraduate students of statistics and researchers interested in the philosophical foundat
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Technical Analysis of Stock Trends

de: Robert D. Edwards

Technical Analysis of Stock Trends helps investors make smart, profitable trading decisions by provid
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The Statistical Analysis of Experimental Data

de: John Mandel

The increasing importance in laboratory situations of minutely precise measurements presents the chem
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Probability Theory: A Comprehensive Course

de: Achim Klenke

This popular textbook, now in a revised and expanded third edition, presents a comprehensive course i
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Modeling, Measuring and Managing Risk

de: Pflug Georg Ch

This book is the first in the market to treat single- and multi-period risk measures (risk functional
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Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R

de: Martin Huber

A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including n
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