搜索结果: 1-15 共查到“理论统计学 Latent”相关记录15条 . 查询时间(0.049 秒)
High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
α-mixing, dimension reduction instrument variables nonstationarity time series
2016/1/20
We consider a multivariate time series model which represents a high dimensional vector process as a sum of three terms: a linear regression of some observed regressors,a linear combination of some la...
Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models
LDHMMs sequential data variational inference variational EM behavior modeling sequence classification
2013/6/14
This paper proposes a generative model, the latent Dirichlet hidden Markov models (LDHMM), for characterizing a database of sequential behaviors (sequences). LDHMMs posit that each sequence is generat...
Out-of-sample Extension for Latent Position Graphs
out-of-sample extension inhomogeneous random graphs latent position model convergence of eigenvectors
2013/6/14
We consider the problem of vertex classification for graphs constructed from the latent position model. It was shown previously that the approach of embedding the graphs into some Euclidean space foll...
MCMC for non-linear state space models using ensembles of latent sequences
MCMC non-linear state space models ensembles latent sequences
2013/6/13
Non-linear state space models are a widely-used class of models for biological, economic, and physical processes. Fitting these models to observed data is a difficult inference problem that has no str...
ParceLiNGAM: A causal ordering method robust against latent confounders
ParceLiNGAM A causal ordering method robust against latent confounders
2013/4/28
We consider learning a causal ordering of variables in a linear non-Gaussian acyclic model called LiNGAM. Several existing methods have been shown to consistently estimate a causal ordering assuming t...
Spectral Methods for Learning Multivariate Latent Tree Structure
Multivariate Latent Spectral Methods
2011/7/19
This work considers the problem of learning the structure of a broad class of multivariate latent variable tree models, which include a variety of continuous and discrete models (including the widely ...
Semiparametric Latent Variable Models for Guided Representation
Variable Models Semiparametric Latent Guided
2011/3/18
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for learning features re...
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...
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...
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...