搜索结果: 1-13 共查到“理论统计学 Modelling”相关记录13条 . 查询时间(0.14 秒)
Direct Regression Modelling of High-order Moments in Big Data
Big data Higher-order moment U-statistics Estimating equation Divide-and-conquer
2016/1/26
Big data problems present great challenges to statisti-cal analyses, especially from the computational side. In this paper, we consider regression estimation of high-order mo-ments in big data problem...
Modelling time and vintage variability in retail credit portfolios: the decomposition approach
Age-period-cohort default Exogeneous EMV model Forecasting Macroeco-nomic Statistical model Vintage
2013/6/14
In this paper, we consider the problem of modelling historical data on retail credit portfolio performance, with a view to forecasting future performance, and facilitating strategic decision making. W...
Happy places or happy people?A multi-level modelling approach to the analysis of happiness and well-being
well-being multi-level modelling random effects combining data
2010/4/30
This paper aims to enhance our understanding of substantive questions regarding self-reported
happiness and well-being through the specification and use of multi-level models. To date, there have bee...
A Dynamic Modelling Strategy for Bayesian Computer Model Emulation
Computer model emulation Dynamic linear model backward sampling Gaussian process Markov chain Monte Carlo
2009/9/24
Computer model evaluation studies build statistical models of deterministic simulation-based predictions of field data to then assess and criticize the computer model and suggest refinemen...
Spatial Mixture Modelling for Unobserved Point Processes: Examples in Immunofluorescence Histology
Bayesian computation blocked Gibbs sampler Dirichlet process mixture model inhomogeneous Poisson process
2009/9/24
We discuss Bayesian modelling and computational methods in analysis of indirectly observed spatial point processes. The context involves noisy measurements on an underlying point proces...
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...
Misinformation in the conjugate prior for the linear model with implications for free-knot spline modelling
Bayes factor BIC model selection nonparametric regression unit information prior
2009/9/21
Intheconjugate priorforthenormallinear model, theprior variancefor
the coecients is a multiple of the error variance parameter. However, if the prior
mean for the coecients is poorly chosen, the pos...
Bayesian robustness modelling using regularly varying distributions
Bayesian robustness heavy-tailed distributions conicting information regular variation credence
2009/9/21
Bayesian robustness modelling using heavy-tailed distributions pro-
vides a exible approach to resolving problems of conicts between the data and
prior distributions. See Dawid (1973) and OHaga (197...
Bayesian Modelling for Multivariate Lifetime Data with a Homogeneous Poisson Process with a Frailty Term
Bayesian Modelling Multivariate Lifetime Data a Homogeneous Poisson Process a Frailty Term
2009/9/17
Bayesian Modelling for Multivariate Lifetime Data with a Homogeneous Poisson Process with a Frailty Term。
Spatial Modelling of the Relative Risk of Dengue Fever in Rio de Janeiro for the Epidemic Period Between 2001 and 2002
Spatial Modelling Relative Risk Dengue Fever in Rio Epidemic Period
2009/9/17
Spatial Modelling of the Relative Risk of Dengue Fever in Rio de Janeiro for the Epidemic Period Between 2001 and 2002。
Modelling Game Outcomes of the Brazilian 2006 Series A Championship as Ordinal-valued
Modelling Game Outcomes the Brazilian Championship
2009/9/17
Modelling Game Outcomes of the Brazilian 2006 Series A Championship as Ordinal-valued。
Gaussian Process Modelling of Asteroseismic Data
stars oscillations — methods statistical — stars individual Hydrae
2010/3/18
The measured properties of stellar oscillations can provide powerful constraints on
the internal structure and composition of stars. To begin this process, oscillation frequencies
must be extracted ...
Second-order refined peaks-over-threshold modelling for heavy-tailed distributions
bias reduction Hill estimator extended Pareto distribution extremevalue index heavy tails regular variation
2010/3/17
Modelling excesses over a high threshold using the Pareto or generalized Pareto
distribution (PD/GPD) is the most popular approach in extreme value statistics.
This method typically requires high th...