Spatial- and Spatiotemporal-Autoregressive Probit Models of Interdependent Binary Outcomes
نویسندگان
چکیده
منابع مشابه
The Spatial Probit Model of Interdependent Binary Outcomes: Estimation, Interpretation, and Presentation
Interdependence—i.e., that the outcomes in or actions or choices of some units depend on those in/of others—is substantively and theoretically ubiquitous in and central to binary outcomes of interest across the social sciences. Most empirical applications omit interdependence, however; even theoretical and substantive discussion usually ignores it. Moreover, in the few contexts where spatial in...
متن کاملEstimating Binary Spatial Autoregressive Models for Rare Events∗
This paper proposes a new statistical estimator, to be applied to the prediction of state failures. State failures are typically conceptualised in a binary fashion—a state fails or it does not—and are rare events. Furthermore, state failures are not geographically independent events. The failure of one state can be expected to have an impact on the stability and peace in neighboring states, inc...
متن کاملModeling migraine severity with autoregressive ordered probit models
Longitudinal data with ordinal outcomes routinely appear in medical applications. An example is the analysis of clinical diaries where patients are asked to score the severity of their symptoms. In this framework, a class of dynamic models for ordinal repeated responses with subjectspecific random effects and distinguished correlation structures for different groups of patients is presented. Mo...
متن کاملModeling individual migraine severity with autoregressive ordered probit models
This paper considers the problem of modeling migraine severity assessments and their dependence on weather and time characteristics. We take on the viewpoint of a patient who is interested in an individual migraine management strategy. Since factors influencing migraine can differ between patients in number and magnitude, we show how a patient’s headache calendar reporting the severity measurem...
متن کاملExact estimation procedures in a spatial mixed–effects probit model with binary outcomes
Abstract Generalized linear mixed models form a general class of random effects models for discrete and continuous response in the exponential family. Spatial GLMM are an extension of such models that allows us to fit spatial-dependent data. A popular model in this class is the probit-normal model. In this study we develop a novel exact algorithm to estimate a probit spatial generalized linear ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Political Science Research and Methods
سال: 2015
ISSN: 2049-8470,2049-8489
DOI: 10.1017/psrm.2015.14