Results 101 to 110 of about 38,919 (183)
Information Aggregation With Delegation of Votes
International Economic Review, EarlyView.ABSTRACT Liquid democracy (LD) combines elements of direct and representative democracy: voters can either vote directly or delegate their votes to others. We study its information aggregation properties in a setting with heterogeneously and privately informed independent and partisan voters.
Amrita Dhillon +3 more
wiley +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
International Finance, EarlyView.ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source
Unconditional Variance Estimation Under Complex Surveys
International Statistical Review, EarlyView.Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley +1 more source
The Random Power Function for Tests Based on Pivotal Quantities
International Statistical Review, EarlyView.Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis +2 more
wiley +1 more source
International Statistical Review, EarlyView.Summary In high‐dimensional survival analysis, effective variable selection is crucial both for model interpretation and predictive performance. This paper investigates Cox regression with lasso and adaptive lasso penalties in genomic datasets where covariates far outnumber observations.
Pilar González‐Barquero +2 more
wiley +1 more source
Journal of Risk and Insurance, EarlyView.Abstract This paper introduces a multi‐stage Overlapping Generations (OLG) model of workers and retirees, segmented by disability status and eligibility for Disability Pension (DP) benefits. Extending Gertler (1999) with progressive disability stages of distinct productivity and transition probabilities, and calibrated to US data, the model generates ...
Hangsuck Lee +3 more
wiley +1 more source
The computation of case fatality rate for novel coronavirus (COVID-19) based on Bayes theorem: An observational study. [PDF]
Medicine (Baltimore), 2020 Chang CS +5 more
europepmc +1 more source
Multiple Chains Markov Switching Vector Autoregression
Journal of Time Series Analysis, EarlyView.ABSTRACT Both the U.S. stock and bond returns exhibit distinct Markovian regimes. However, because these regimes display limited coherence, conventional models typically require highly parameterized systems to adequately capture their joint distribution.
Leopoldo Catania
wiley +1 more source
Aplicação de modelo bayesiano empírico na análise espacial da ocorrência de hanseníase
Revista de Saúde PúblicaOBJETIVO: Analisar a distribuição espacial da hanseníase, identificar áreas de possível sub-registro de casos ou de provável alta transmissão (risco) e verificar a associação dessa distribuição à existência de casos de formas multibacilares.
Wayner Vieira Souza +7 more
doaj
Identification and Estimation of Multi‐order Tensor Factor Models
Journal of Time Series Analysis, EarlyView.ABSTRACT We propose a novel framework in high‐dimensional factor models to simultaneously analyze multiple tensor time series, each with potentially different tensor orders and dimensionality. The connection between different tensor time series is through their global factors that are correlated with each other.
Zetai Cen
wiley +1 more source