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pro vyhledávání: '"Gonçalves, Flávio A."'
Safe and reliable disclosure of information from confidential data is a challenging statistical problem. A common approach considers the generation of synthetic data, to be disclosed instead of the original data. Efficient approaches ought to deal wi
Externí odkaz:
http://arxiv.org/abs/2402.17915
This paper proposes a new methodology to perform Bayesian inference for a class of multidimensional Cox processes in which the intensity function is piecewise constant. Poisson processes with piecewise constant intensity functions are believed to be
Externí odkaz:
http://arxiv.org/abs/2012.05764
In this paper, we present a novel methodology to perform Bayesian inference for Cox processes in which the intensity function is driven by a diffusion process. The novelty lies in the fact that no discretization error is involved, despite the non-tra
Externí odkaz:
http://arxiv.org/abs/2007.05812
It is reasonable to consider, in many cases, that individuals' latent traits have a hierarchical structure such that more general traits are a suitable composition of more specific ones. Existing item response models that account for such hierarchica
Externí odkaz:
http://arxiv.org/abs/2006.09966
Statistical modeling of point patterns is an important and common problem in several areas. The Poisson process is the most common process used for this purpose, in particular, its generalization that considers the intensity function to be stochastic
Externí odkaz:
http://arxiv.org/abs/2006.09949
Accept-reject based Markov chain Monte Carlo (MCMC) algorithms have traditionally utilised acceptance probabilities that can be explicitly written as a function of the ratio of the target density at the two contested points. This feature is rendered
Externí odkaz:
http://arxiv.org/abs/2004.07471
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Akademický článek
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Flexible Bayesian modelling in dichotomous item response theory using mixtures of skewed item curves
Most Item Response Theory (IRT) models for dichotomous responses are based on probit or logit link functions which assume a symmetric relationship between the probability of a correct response and the latent traits of individuals submitted to a test.
Externí odkaz:
http://arxiv.org/abs/1910.10233
Autor:
Gonçalves, Flávio B., Franklin, Pedro
We discuss a general definition of likelihood function in terms of Radon-Nikod\'{y}m derivatives. The definition is validated by the Likelihood Principle once we establish a result regarding the proportionality of likelihood functions under different
Externí odkaz:
http://arxiv.org/abs/1906.10733