Darowizna 15 września 2024 – 1 października 2024 O zbieraniu funduszy

A Student’s Guide to Bayesian Statistics

Main
Mathematics
A Student’s Guide to Bayesian...

A Student’s Guide to Bayesian Statistics

Ben Lambert

4.0 / 5.0

Jak bardzo podobała Ci się ta książka?

Jaka jest jakość pobranego pliku?

Pobierz książkę, aby ocenić jej jakość

Jaka jest jakość pobranych plików?

Kategorie:

Rok:

2018

Wydawnictwo:

SAGE Publications Ltd

Język:

english

ISBN 10:

1473916364

ISBN 13:

9781473916364

ISBN:

2017942214

Plik:

PDF, 34.55 MB

IPFS:

,

english, 2018

Czytaj Online

Trwa konwersja do

Konwersja do nie powiodła się

Możesz być zainteresowany

Scott Hartshorn — Hypothesis Testing - A Visual Introduction To Statistical Significance

Scott Hartshorn — Bayes' Theorem Examples - A Visual Guide For Beginners

Sergios Theodoridis — Machine Learning: A Bayesian and Optimization Perspective

Richard E. Neapolitan — Learning Bayesian networks

Devinderjit Sivia, John Skilling — Data Analysis: A Bayesian Tutorial

Therese M Donovan; Ruth M Mickey — Bayesian Statistics for Beginners: A Step-By-Step Approach

Richard Mcelreath — Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)

Martin, Osvaldo A., Kumar, Ravin, Lao, Junpeng — Bayesian Modeling and Computation in Python

Jim Albert (auth.) — Bayesian Computation With R

Finn B. Jensen, Thomas D. Nielsen — Bayesian networks and decision graphs

Peter D. Hoff — A First Course in Bayesian Statistical Methods

Brian J. Reich, Sujit K. Ghosh — Bayesian Statistical Methods

Peter Congdon — Bayesian statistical modelling

Olivier Pourret, Patrick Naïm, Bruce Marcot — Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)

J. S. Dagpunar — Simulation and Monte Carlo with applications in finance and MCMC

Timo Koski, John Noble — Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics)

Faming Liang, Chuanhai Liu, Raymond Carroll — Advanced Markov chain Monte Carlo methods

William M. Bolstad — Introduction to bayesian statistics

José M. Bernardo, Adrian F. M. Smith — Bayesian Theory

Herman J. C. Berendsen — A Student's Guide to Data and Error Analysis

Daniel A Fleisch — A student's guide to vectors and tensors

J. F. James — A Student’s Guide to Fourier Transforms: With Applications in Physics and Engineering (3rd ed. 2011)

David Barber — Bayesian Reasoning and Machine Learning

Yuri Suhov, Mark Kelbert — Probability and statistics by example. Markov chains: a primer in random processes and their applications

J.F. James — A Student s Guide to Fourier Transforms

James V Stone — Bayes' Rule: A Tutorial Introduction to Bayesian Analysis

James V Stone — Bayes Rule with R A Tutorial Introduction to Bayesian Analysis

Don S. Lemons — A Student’s Guide to Entropy

Stefan M. Moser, Po-Ning Chen — A Student’s Guide to Coding and Information Theory

Andrew Gelman, Jennifer Hill, Aki Vehtari — Regression and Other Stories

Patrick Hamill — A Student's Guide to Lagrangians and Hamiltonians

Daniel A. Fleisch, Laura Kinnaman — A Student’s Guide to Waves

Ian H. Hutchinson — A Student’s Guide to Numerical Methods

Don S. Lemons — A Student’s Guide to Dimensional Analysis

Norman Gray — A Student's Guide to General Relativity

Müller, Peter; Paulino, Carlos Daniel; Turkman, M. Antónia Amaral — Computational Bayesian statistics : an introduction

Daniel A. Fleisch — A Student's Guide to the Schrödinger Equation

Nyberg, Svein Olav — The Bayesian way: introductory statistics for economists and engineers

Riccardo Russo — Statistics For The Behavioural Sciences: An Introduction To Frequentist And Bayesian Approaches

Jim Albert; Jingchen Hu — Probability and Bayesian Modeling

Steve Brooks, Andrew Gelman, Galin L. Jones, Xiao-Li Meng — Handbook of Markov Chain Monte Carlo

Ronald Christensen, Wesley O. Johnson, Adam J. Branscum, Timothy E. Hanson — Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians

Najbardziej popularne frazy

Powiązane listy książek