Probability 44

Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE introduces ecologists and statisticians to a powerful and unifying framework for analyz……続きを見る

This book formulates methods for modeling continuous and categorical correlated outcomes extending the commonly used methods: generalized estimating equations (GEE) and linear mixed modeling. Partia……続きを見る

統計學入門首選！ 拋開複雜公式，漫畫圖解×Excel實作，用Excel輕鬆學會數據分析與假設檢定！ **　　** 「統計好難、公式好多，到底在說什麼？」如果你也有這樣的困惑，請給這本書一個機會！ 本書不會要你死背公式……続きを見る

This book develops supervised learning techniques commonly used in Predictive Artificial Intelligence and Data Science applications. The techniques are illustrated with fully solved examples using t……続きを見る

You check your phone and realize three hours have vanished. You remember your childhood vividly, yet neuroscience says those memories are reconstructed fictions. You feel like you're living in the p……続きを見る

Dans ce livre, des exercices sont réalisés sur les sujets mathématiques suivants : Chaînes de Markov et processus stochastiques markoviens processus stochastiques dépendants et indépendants du temps……続きを見る

Neste livro, são realizados exercícios sobre os seguintes tópicos matemáticos: Cadeias de Markov e processos estocásticos Markovianos processos estocásticos dependentes e independentes do tempo pass……続きを見る

In diesem Buch werden Übungen zu folgenden mathematischen Themen durchgeführt: Markov-Ketten und Markovsche stochastische Prozesse zeitabhängige und zeitunabhängige stochastische Prozesse Irrfahrten……続きを見る

En este libro se realizan ejercicios sobre los siguientes temas matemáticos: Cadenas de Markov y procesos estocásticos markovianos procesos estocásticos dependientes e independientes del tiempo pase……続きを見る

In this book, exercises are carried out regarding the following mathematical topics: Markov chains and Markovian stochastic processes time-dependent and time-independent stochastic processes random ……続きを見る

This volume explores regression analysis as the backbone of statistical modeling, offering readers a versatile and robust framework for analyzing relationships in data. From foundational linear mode……続きを見る

This book is an invaluable resource for all researchers interested in understanding practical applications of longitudinal regression methods. This book aims to equip readers with practical applicat……続きを見る

The book focuses on numerical methods for derivative pricing with an emphasis on their mathematical foundations. It offers the most frequently explored numerical methods of derivative pricing and co……続きを見る

Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popu……続きを見る

This book is a tribute to Professor A. K. Md. Ehsanes Saleh, a distinguished figure in the field of statistics known for his pioneering work, including the development of the "Preliminary Test Appro……続きを見る

Unlocking the pure mathematical secrets of the 2026 stock market requires moving far beyond the simple charts and guesses of the past. This book provides a deep dive into the rigorous world of advan……続きを見る

This book deals with measurements and understanding, evaluating, and reporting uncertainties. Its goal is to present fundamental concepts rather than delve into professional expertise. It does not i……続きを見る

This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition. With the a……続きを見る

This volume focuses on predicting users’ attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention ……続きを見る

Sharpen your probability skills What are the chances you'll ace your next exam? Land that promotion? Beat the house in Vegas? With Probability Workbook For Dummies, you'll stop guessing and start kn……続きを見る

內容簡介 〜最強的決策工具，也是最流行的統計學〜 從「結果」倒推「原因」，少少的情報就足以預測未來！ 【本書特色】 ◎全書以圖解＆步驟拆解，視覺化呈現運算的邏輯，助你突破貝氏統計的兩大難關──「符號」和「……続きを見る

This book provides an in-depth examination of time series decomposition and seasonal adjustment, focusing on the X-13ARIMA-SEATS and TRAMO-SEATS methods. Seasonal adjustment removes distortions such……続きを見る

La statistique bayésienne est partout : prévisions météo, analyses d’épidémies, préservation de la biodiversité... Dans un monde incertain, elle permet d’estimer, de prédire et de décider, en donnan……続きを見る

An Introductory Guide to Quantitative Data Analysis and Interpretation using SPSS 30 is a comprehensive guide to quantitative analysis. It integrates knowledge of research methods, data analysis, an……続きを見る

Survival analysis is crucial in many fields, including biomedical research, actuarial science, reliability analysis, business and customer analytics, econometrics, and social science. It has witness……続きを見る

This book explores how deep learning enhances statistical methods for hypothesis testing, point estimation, optimization, interpretation, and other aspects. It uniquely demonstrates leveraging deep ……続きを見る

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift, and foundation models. It offers an in-depth look at cutting-edge tech……続きを見る

Complex systemsーcharacterized by self-organization, emergence, and profound non-linearityーgovern everything from global financial markets to ecological stability. Navigating this complexity requir……続きを見る

This book provides an introduction to the theory of random beta-type simplices and polytopes, exploring their connections to key research areas in stochastic and convex geometry. The random points d……続きを見る

This volume collects selected papers from the Tenth High Dimensional Probability conference, held from June 12 to 16, 2023 in Będlewo, Poland. These papers cover a wide range of topics and demonstra……続きを見る