搜索结果: 16-26 共查到“统计学 Latent”相关记录26条 . 查询时间(0.055 秒)
Generalized Species Sampling Priors with Latent Beta reinforcements
Statistics Theory (math.ST) Learning (cs.LG) Methodology (stat.ME)
2010/12/17
Many popular Bayesian Nonparametric priors can be characterized in terms of exchangeable species sampling sequences. One example is the Dirichlet Process prior, that has been increasingly used for mod...
Latent diffusion models for survival analysis
diffusion processes parametrization of hierarchical models survival analysis
2010/10/19
We consider Bayesian hierarchical models for survival analysis, where the survival times are modeled through an underlying diffusion process which determines the hazard rate. We show how these models ...
A latent factor model for spatial data with informative missingness
Binary spatial data informative cluster size multivariate data
2010/10/19
A large amount of data is typically collected during a periodontal exam. Analyzing these data poses several challenges. Several types of measurements are taken at many locations throughout the mouth....
An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling
micro-environmental parameters in cancer Weibull survival models
2010/10/19
We present an applied study in cancer genomics for integrating data and inferences from laboratory experiments on cancer cell lines with observational data obtained from human breast cancer studies. T...
Gaussian Process Structural Equation Models with Latent Variables
Gaussian Process Structural Equation Models Latent Variables
2010/3/11
In a variety of disciplines such as social sciences,
psychology, medicine and economics, the
recorded data are considered to be noisy measurements
of latent variables connected by some
causal stru...
Inferring sparse Gaussian graphical models with latent structure
Gaussian graphical model Mixture model ℓ 1-penalization Model selection Variational inference EM algorithm
2009/9/16
Our concern is selecting the concentration matrix's nonzero coefficients for a sparse Gaussian graphical model in a high-dimensional setting. This corresponds to estimating the graph of conditional de...
A general multivariate latent growth model with applications in student careers Data warehouses
University evaluation student capability Data warehouse longitudinal and mixeddata generalized linear latent variable models
2010/3/18
The evaluation of the formative process in the University system has been assuming
an ever increasing importance in the European countries. Within this context the analysis
of student performance an...
DE-BIASING WEIGHTED MLE VIA INDIRECT INFERENCE：THE CASE OF GENERALIZED LINEAR LATENT VARIABLE MODELS
factor analysis latent variables M-estimators
2009/2/25
In this paper we study bias-corrections to the weighted MLE (Dupuis and Morgen-
thaler, 2002), a robust estimator simply defined through a weighted score function.
Indeed, although the WMLE is relat...
Multidimensional latent Markov models in a developmental study of inhibitory control and attentional flexibility in early childhood
dimensionality assessment executive function item response theory latentMarkov model Rasch model two-parameter logistic parameterisation
2010/3/17
We demonstrate the use of a multidimensional extension of the latent Markov model
to analyse data from studies with correlated binary responses in developmental psychology.
In particular, we conside...
Learning about a Categorical Latent Variable under Prior Near-Ignorance
Prior near-ignorance latent and manifest variables observational processes vacuous beliefs imprecise probability
2010/4/29
It is well known that complete prior ignorance is not compatible with
learning, at least in a coherent theory of (epistemic) uncertainty. What is less
widely known, is that there is a state similar ...
A Latent Process Model for Dementia and Psychometric Tests
latent process Brownian motion joint model ordinal data multivariatedata dementia Alzheimer’s disease
2010/4/27
We jointly model longitudinal values of a psychometric test and
diagnosis of dementia. The model is based on a continuous-time latent
process representing cognitive ability. The link between the lat...