This book is a reconstruction of Masafumi Akahiras works on statistical estimation and its related fields, especially higher order asymptotics and non-regular cases with consideration based on information amounts. There have been few books on higher...Loe edasi...
This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint models using the Integrated Nested Laplace Approximations (INLA) methodology, a powerful and computationally efficient alternative...Loe edasi...
This thesis breaks new ground in supernova type Ia cosmology, developing novel and powerful machine-learning methods scalable to the next generation of astronomical surveys. It demonstrates the feasibility of a fully simulation-based approach to inf...Loe edasi...
(Ilmumisaeg: 23-Apr-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009470315)
This Element introduces PrInDT, a decision-tree method for modeling extra- and intralinguistic variables in World Englishes. It balances interpretability and accuracy, handles unbalanced classes, supports classification and regression, and analyzes...Loe edasi...
This Element introduces PrInDT, a decision-tree method for modeling extra- and intralinguistic variables in World Englishes. It balances interpretability and accuracy, handles unbalanced classes, supports classification and regression, and analyzes...Loe edasi...
This book provides a comprehensive treatment of the logic behind hypothesis testing. This updated edition covers frequentist (classical) and Bayesian approaches to interpretation of the results of a statistical hypothesis test. In a new chapter, non...Loe edasi...
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 analyzing capture-recapture data. Hidden Markov...Loe edasi...
This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoret...Loe edasi...
Sari: Elements in Quantitative and Computational Methods for the Social Sciences
(Ilmumisaeg: 19-Mar-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009598446)
This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoret...Loe edasi...
(Ilmumisaeg: 13-Mar-2026, Paperback / softback, Kirjastus: Society for Industrial & Applied Mathematics,U.S., ISBN-13: 9781611978810)
Centering on computational strategies for inverse problems governed by partial differential equations, the text unifies deterministic inversion techniques with Bayesian methods. It delves into post optimality sensitivity analysis, optimal experiment...Loe edasi...
War is far more likely to occur in countries where women lack equal standing in society. Focusing on gendered political inequality, this Element takes a large-N approach to exploring whether inequality variation in states at conflict leads to variat...Loe edasi...
(Ilmumisaeg: 05-Mar-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009539586)
War is far more likely to occur in countries where women lack equal standing in society. Focusing on gendered political inequality, this Element takes a large-N approach to exploring whether inequality variation in states at conflict leads to variat...Loe edasi...
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 include formal axiomatisation, rigorous proofs, or d...Loe edasi...
This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and in...Loe edasi...
(Ilmumisaeg: 11-Nov-2025, Hardback, Kirjastus: Yale University Press, ISBN-13: 9780300250503)
An award-winning astrophysicist looks at how the understanding of uncertainty and randomness has led to breakthroughs in our knowledge of the cosmos All of us understand the world around us by constructing models, comparing them to o...Loe edasi...
This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist st...Loe edasi...
This book is about the interplay between chance and order, but limited to mostly binary events, such as success/failure as they occur in a diversity of interesting applications. The goal is to entertain and instruct with topics that range from unexp...Loe edasi...
Hierarchical Modeling and Analysis for Spatial Data, Third Edition is the 3rd edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data. The text presents a comprehensive presents a compr...Loe edasi...
The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel Augmented Gaussian Process” methodology. The book is important to clarify the relations and the...Loe edasi...
