搜索结果: 1-15 共查到“管理学 Temporal”相关记录15条 . 查询时间(0.078 秒)
Sparse approximations in spatio-temporal point-process models
latent Gaussian models linear dynamical systems log Gaussian Cox process approximate inference expectation propagation sparse inference
2013/6/14
Analysis of spatio-temporal point patterns plays an important role in several disciplines, yet inference in these systems remains computationally challenging due to the high resolution modelling gener...
Modeling Temporal Activity Patterns in Dynamic Social Networks
Activity Profile Modeling Twitter Data-Fitting Explanation Prediction Hidden Markov Model Coupled Hidden Markov Model Social Network In uence User Clustering
2013/6/14
The focus of this work is on developing probabilistic models for user activity in social networks by incorporating the social network influence as perceived by the user. For this, we propose a coupled...
Detecting Overlapping Temporal Community Structure in Time-Evolving Networks
Detecting Overlapping Temporal Community Structure Time-Evolving Networks
2013/5/2
We present a principled approach for detecting overlapping temporal community structure in dynamic networks. Our method is based on the following framework: find the overlapping temporal community str...
Explaining temporal trends in annualized relapse rates in placebo groups of randomized controlled trials in relapsing multiple sclerosis: systematic review and meta-regression
multiple sclerosis relapses annualized relapse rates placebo baseline characteristics eligibility criteria meta-analysis meta-regression systematic review
2013/4/27
Background: Recent studies have shown a decrease in annualised relapse rates (ARRs) in placebo groups of randomised controlled trials (RCTs) in relapsing multiple sclerosis (RMS).
Methods: We conduc...
Infinite-dimensional Bayesian filtering for detection of quasi-periodic phenomena in spatio-temporal data
Infinite-dimensional Bayesian filtering detection of quasi-periodic phenomena spatio-temporal data
2013/4/27
This paper introduces a spatio-temporal resonator model and an inference method for detection and estimation of nearly periodic temporal phenomena in spatio-temporal data. The model is derived as a sp...
Multivariate Temporal Dictionary Learning for EEG
Dictionary learning orthogonal matching pursuit multivariate shift-invariance EEG evoked potentials P300
2013/4/28
This article addresses the issue of representing electroencephalographic (EEG) signals in an efficient way. While classical approaches use a fixed Gabor dictionary to analyze EEG signals, this article...
A Dynamic Spatio-temporal Precipitation Model
Rainfall modeling Space-time model Bayesian hierarchical model Markov chain Monte Carlo (MCMC) method Censoring Gaussian random fi eld
2011/3/24
A spatio-temporal model for precipitation is presented. Modeling the continuous and the discrete part of rainfall together, it is assumed that precipitation has a censored and power-transformed normal...
A Dynamic Spatio-temporal Precipitation Model
Rainfall modeling Space-time model Bayesian hierarchical model Markov chain Monte Carlo (MCMC) method Censoring Gaussian random fi eld
2011/3/24
A spatio-temporal model for precipitation is presented. Modeling the continuous and the discrete part of rainfall together, it is assumed that precipitation has a censored and power-transformed normal...
A Dynamic Spatio-temporal Precipitation Model
Rainfall modeling Space-time model Bayesian hierarchical model Markov chain Monte Carlo (MCMC) method Censoring Gaussian random fi eld
2011/3/23
A spatio-temporal model for precipitation is presented. Modeling the continuous and the discrete part of rainfall together, it is assumed that precipitation has a censored and power-transformed normal...
Compound decision in the presence of proxies with an application to spatio-temporal data
Statistics Theory (math.ST) Methodology (stat.ME)
2010/12/17
We study the problem of incorporating covariates in a compound decision setup. It is desired to estimate the means of $n$ response variables, which are independent and normally distributed, and each i...
Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package
Computation (stat.CO) Medical Physics (physics.med-ph) Applications (stat.AP)
2010/12/17
For statistical analysis of functional Magnetic Resonance Imaging (fMRI) data sets, we propose a data-driven approach based on Independent Component Analysis (ICA) implemented in a new version of the ...
Testing temporal constancy of the spectral structure of a time series
local periodogram non-stationary processes testing time-varying spectral density
2010/3/9
Statistical inference for stochastic processes with time-varying spectral characteristics has received
considerable attention in recent decades.We develop a nonparametric test for stationarity
again...
Bayesian Modelling and Analysis of Spatio-Temporal Neuronal Networks
hierarchical models shrinkage priors Bayesian model selection multiple spike trains analysis multi-electrode arrays
2009/9/21
This paper illustrates a novel hierarchical dynamic Bayesian network
modelling the spiking patterns of neuronal ensembles over time. We introduce,
at separate model stages, the parameters characteri...
Ergodicity of PCA: Equivalence between Spatial and Temporal Mixing Conditions
probabilistic Cellular Automata Interacting Particle Systems Ergodicity Gibbs measure
2009/4/28
For a general attractive Probabilistic Cellular Automata on SZ^d, we prove that the (time-) convergence towards equilibrium of this Markovian parallel dynamics, exponentially fast in the uniform norm,...
Spatial--temporal mesoscale modeling of rainfall intensity using gage and radar data
Conditionally autoregressive models full symmetry nonstationarity rainfall modelling spatial logistic regression spatial–temporal models
2010/3/17
Gridded estimated rainfall intensity values at very high spatial
and temporal resolution levels are needed as main inputs for weather
prediction models to obtain accurate precipitation forecasts, an...