Flexible Models for Complex Data with Applications

Author(s):  
Christophe Ley ◽  
Slađana Babić ◽  
Domien Craens

Probability distributions are the building blocks of statistical modeling and inference. It is therefore of the utmost importance to know which distribution to use in what circumstances, as wrong choices will inevitably entail a biased analysis. In this article, we focus on circumstances involving complex data and describe the most popular flexible models for these settings. We focus on the following complex data: multivariate skew and heavy-tailed data, circular data, toroidal data, and cylindrical data. We illustrate the strength of flexible models on the basis of concrete examples and discuss major applications and challenges. Expected final online publication date for the Annual Review of Statistics and Its Application, Volume 8 is March 8, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Author(s):  
Tapiwa Ganyani ◽  
Christel Faes ◽  
Niel Hens

This article considers simulation and analysis of incidence data using stochastic compartmental models in well-mixed populations. Several simulation approaches are described and compared. Thereafter, we provide an overview of likelihood estimation for stochastic models. We apply one such method to a real-life outbreak data set and compare models assuming different kinds of stochasticity. We also give references for other publications where detailed information on this topic can be found. Expected final online publication date for the Annual Review of Statistics and Its Application, Volume 8 is March 8, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


Author(s):  
Bianca L. De Stavola ◽  
Moritz Herle ◽  
Andrew Pickles

We describe the principles of counterfactual thinking in providing more precise definitions of causal effects and some of the implications of this work for the way in which causal questions in life course research are framed and evidence evaluated. Terminology is explained and examples of common life course analyses are discussed that focus on the timing of exposures, the mediation of their effects, observed and unobserved confounders, and measurement error. The examples are illustrated by analyses using singleton and twin cohort data. Expected final online publication date for the Annual Review of Statistics and Its Application, Volume 9 is March 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


Author(s):  
Andrew C. Harvey

The construction of score-driven filters for nonlinear time series models is described, and they are shown to apply over a wide range of disciplines. Their theoretical and practical advantages over other methods are highlighted. Topics covered include robust time series modeling, conditional heteroscedasticity, count data, dynamic correlation and association, censoring, circular data, and switching regimes. Expected final online publication date for the Annual Review of Statistics and Its Application, Volume 9 is March 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


Author(s):  
Galin L. Jones ◽  
Qian Qin

Markov chain Monte Carlo (MCMC) is an essential set of tools for estimating features of probability distributions commonly encountered in modern applications. For MCMC simulation to produce reliable outcomes, it needs to generate observations representative of the target distribution, and it must be long enough so that the errors of Monte Carlo estimates are small. We review methods for assessing the reliability of the simulation effort, with an emphasis on those most useful in practically relevant settings. Both strengths and weaknesses of these methods are discussed. The methods are illustrated in several examples and in a detailed case study. Expected final online publication date for the Annual Review of Statistics, Volume 9 is March 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


Author(s):  
Arun K. Kuchibhotla ◽  
John E. Kolassa ◽  
Todd A. Kuffner

We discuss inference after data exploration, with a particular focus on inference after model or variable selection. We review three popular approaches to this problem: sample splitting, simultaneous inference, and conditional selective inference. We explain how each approach works and highlight its advantages and disadvantages. We also provide an illustration of these post-selection inference approaches. Expected final online publication date for the Annual Review of Statistics and Its Application, Volume 9 is March 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2021 ◽  
Vol 47 (1) ◽  
Author(s):  
Michael Lounsbury ◽  
Christopher W.J. Steele ◽  
Milo Shaoqing Wang ◽  
Madeline Toubiana

In this article, we take stock of the institutional logics perspective and highlight opportunities for new scholarship. While we celebrate the growth and generativity of the literature on institutional logics, we also note that there has been a troubling tendency in recent work to use logics as analytical tools, feeding disquiet about reification and reductionism. Seeding a broader scholarly agenda that addresses such weaknesses in the literature, we highlight nascent efforts that aim to more systematically understand institutional logics as complex, dynamic phenomena in their own right. In doing so, we argue for more research that probes how logics cohere and endure by unpacking the role of values, the centrality of practice, and the governance dynamics of institutional logics and their orders. Furthermore, we encourage bridging the study of institutional logics with various literatures, including ethnomethodology, phenomenology, professions, elites, world society, and the old institutionalism, to enhance progress in these directions. Expected final online publication date for the Annual Review of Sociology, Volume 47 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jenny Audring

In recent years, construction-based approaches to morphology have gained ground in the research community. This framework is characterized by the assumption that the mental lexicon is extensive and richly structured, containing not only a large number of stored words but also a wide variety of generalizations in the form of schemas. This review explores two construction-based theories, Construction Morphology and Relational Morphology. After outlining the basic theoretical architecture, the article presents an array of recent applications of a construction-based approach to morphological phenomena in various languages. In addition, it offers reflections on challenges and opportunities for further research. The review highlights those aspects of the theory that have proved particularly helpful in accommodating both the regularities and the quirks that are typical of the grammar of words. Expected final online publication date for the Annual Review of Linguistics, Volume 8 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2021 ◽  
Vol 50 (1) ◽  
Author(s):  
Morten Axel Pedersen ◽  
Kristoffer Albris ◽  
Nick Seaver

Attention has become an issue of intense political, economic, and moral concern over recent years: from the commodification of attention by digital platforms to the alleged loss of the attentional capacities of screen-addicted children (and their parents). While attention has rarely been an explicit focus of anthropological inquiry, it has still played an important if mostly tacit part in many anthropological debates and subfields. Focusing on anthropological scholarship on digital worlds and ritual forms, we review resources for colleagues interested in this burgeoning topic of research and identify potential avenues for an incipient anthropology of attention, which studies how attentional technologies and techniques mold human minds and bodies in more or less intentional ways. Expected final online publication date for the Annual Review of Anthropology, Volume 50 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2021 ◽  
Vol 50 (1) ◽  
Author(s):  
Andrew K. Scherer

The mid-1990s through the first decade of the new millennium marked an increase in publications pertaining to war and violence in the ancient past. This review considers how scholars of the past decade have responded to that work. The emerging consensus is that war and violence were endemic to all societies studied by archaeologists, and yet the frequency, intensity, causes, and consequences of violence were highly variable for reasons that defy simplistic explanation. The general trend has been toward archaeologies of war and violence that focus on understanding the nuances of particular places and historical moments. Nevertheless, archaeologists continue to grapple with grand narratives of war, such as the proposition that violence has decreased from ancient to modern times and the role of war and violence in state formation and collapse. Recent research also draws attention to a more expansive definition of violence. Expected final online publication date for the Annual Review of Anthropology, Volume 50 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


Author(s):  
Marc Dobler ◽  
Marina Moretti ◽  
Alvaro Piris

Financial crises are a recurring feature of modern economies. This article summarizes the lessons learned from policy interventions and tools used to resolve banking crises from a practical, operational perspective and in light of the experiences and challenges faced during and since the 2008 global financial crisis. Managing a systemic banking crisis is a complex, multiyear process and requires a comprehensive framework for addressing systemic banking problems while minimizing taxpayers’ costs. Expected final online publication date for the Annual Review of Financial Economics, Volume 13 is March 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


Sign in / Sign up

Export Citation Format

Share Document