[PDF] Top 20 A Bayesian semiparametric partially PH model for clustered time to event data
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A Bayesian semiparametric partially PH model for clustered time to event data
... earlier for the σ-stable CRMs, corresponding to higher values of the survival ...functions. For example, compare the contour lines for the value Σ = ...tend to be relatively weakly ... See full document
31
Objective bayesian variable selection for censored data
... statistical data analysis it is common to consider the regression set up in which a given response variable depends on some factors and/or ...The model selection problem mainly consists in choosing ... See full document
165
A semiparametric Bayesian joint model for multiple mixed type outcomes: an application to acute myocardial infarction
... a Bayesian nonparametric hierarchical model that includes a cluster analysis, aimed at identifying profiles or hospital behaviors that may affect the out- come at patient ...regression model, where ... See full document
25
Bayesian analysis of textual data
... order to verify whether that is the case, the comparison will be based both on word length distribution, as well as on the frequency with which the twenty most frequent function words are used in these ... See full document
195
Real-time model predictive control for quadrotors
... vehicle. To the best knowledge of the authors, there is no published work on the solution to the state and input constraints MPC problem that are state ...solution to the linearisation of nonlinear ... See full document
8
TítuloObject oriented tool to model and simulate disvrete event systems
... methodology to develop a real time object oriented tool (RTOOT) destined to design and implement SFC based applications by means of an object oriented virtual engineering environment, the ...capable ... See full document
6
A data model for Cultural Heritage within INSPIRE.
... elements to the ...attached to their geographical location, and cannot be set apart from each ...2008) to name but a ...tend to focus on the formal characteristics, with the spatial dimension ... See full document
82
Dynamic Model for RNA-seq Data Analysis
... addressed to Momiao Xiong; ...levels for all genes in a sample, RNA-seq provides an attractive option to characterize the global changes in ...platform for gene expression ...RNA-seq ... See full document
14
Robust Bayesian model selection
... of model speci- …cation on the quality of the standard Bayesian inferential technique is in Müller (2013) where the author advocates using an arti…cial posterior distribution, in particular, a nor- mal ... See full document
28
An Objective Bayesian Criterion to Determine Model Prior Probabilities
... the Bayesian framework. For model selection problems which involve non-nested models, the common ob- jective choice of a prior on the model space is the uniform ...applies to situations ... See full document
28
Bayesian meta-analysis models for heterogeneous genomics data
... complicated. For example, DNA methylation patterns are globally disrupted in tumor ...contribute to carcinogenesis via transcriptional activation of tumor-promoting genes (Wu et ...back to their ... See full document
137
A Parallel Grid based Implementation for Real Time Processing of Event Log Data in Collaborative Applications
... the time of this writing, composed of 1069 nodes hosted in 494 different ...services to create virtual isolated partitions in the node, called slivers, which look to users as the real ...user ... See full document
17
A Statistical Model for Multiparty Electoral Data
... Accessed February 18, 2015 1:11:09 PM EST Citable Link http://nrs.harvard.edu/urn-3:HUL.InstRepos:3992146 Terms of Use This article was downloaded from Harvard University's DASH repository, and is made available under ... See full document
19
A Bayesian Decision Model for Intelligent Routing in Sensor Networks
... Since nodes in model 1 do not know which of their respective neighbors are closer to the sink, the decisions at node i in this model will be based on the energy estimation at any of the [r] ... See full document
5
Dynamical Modeling Techniques for Biological Time Series Data
... animal model for the study of epilepsy due to both their genetic and dynamical resemblance with humans [9, ...state to another characterizing the disease ...investigated. For this ... See full document
214
Exact Bayesian inference via data augmentation
... distribution for the param- eters of the INAR(p) model (p = 0, 1, 2, ...corresponds to independent and identically distributed Pois- son ...(evidence) for the models for ... See full document
15
Input data distribution estimations for a pricing model to optimize the duration of promotion periods for airlines
... optimal to do promotion (represented with a 1) or not to do promotion (represented with a ...zero). For example, if we are on 8 days before the departure day and we have 24 seats available we must do ... See full document
14
A time to learn, a time to teach
... sleeping time, a slight increase of sleep time in adolescents with UBN, and different patterns of wake activities that predict sleep deficit, depending on the presence of UBN, were ...help to design ... See full document
7
Quantifying dimensionality: Bayesian cosmological model complexities
... parameters to combat the influence of foregrounds and systematics. For example the Planck likelihood [36] is in total 21-dimensional, the DES like- lihood [2] is 26-dimensional, and their combination ... See full document
14
A Financial Data Mining Model for Extracting Customer Behavior
... order to have better market analysis and customer relationship management, the utilization of Information Technology (IT) is a significant tool used to help the ...organizations to enhance competence ... See full document
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