Results 91 to 100 of about 527,420 (298)
Bayesian Nonparametric Model for Estimating Multistate Travel Time Distribution
Journal of Advanced Transportation, 2017 Multistate models, that is, models with more than two distributions, are preferred over single-state probability models in modeling the distribution of travel time.
Emmanuel Kidando +3 more
doaj +1 more source
Non-Parametric Bayesian State Space Estimator for Negative Information
Frontiers in Robotics and AI, 2017 Simultaneous Localization and Mapping (SLAM) is concerned with the development of filters to accurately and efficiently infer the state parameters (position, orientation, etc.) of an agent and aspects of its environment, commonly referred to as the map ...
Guillaume de Chambrier, Aude Billard
doaj +1 more source
Bayesian Nonparametric Approaches for ROC Curve Inference [PDF]
, 2015 The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating the accuracy of such tests.
Jara, A. +8 more
core +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Canadian Journal of Statistics, EarlyView.Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Nonparametric Priors for Vectors of Survival Functions [PDF]
The paper proposes a new nonparametric prior for two–dimensional vectors of survival functions (S1, S2). The definition we introduce is based on the notion of L´evy copula and it will be used to model, in a nonparametric Bayesian framework, two–sample ...
Antonio Lijoi, Ilenia Epifani
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A Nonparametric Bayesian Approach to the Rare Type Match Problem
Entropy, 2020 The “rare type match problem” is the situation in which, in a criminal case, the suspect’s DNA profile, matching the DNA profile of the crime stain, is not in the database of reference.
Giulia Cereda, Richard D. Gill
doaj +1 more source
Function estimation with locally adaptive dynamic models [PDF]
, 2001 We present a nonparametric Bayesian method for fitting unsmooth and highly oscillating functions, which is based on a locally adaptive hierarchical extension of standard dynamic or state space models.
Lang, S. +2 more
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Nonparametric maximum likelihood estimation of the survival function using current lifetime data
Canadian Journal of Statistics, EarlyView.Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley +1 more source
Shape-constrained semiparametric additive stochastic volatility models
Statistical Theory and Related Fields, 2019 Nonparametric stochastic volatility models, although providing great flexibility for modelling the volatility equation, often fail to account for useful shape information.
Jiangyong Yin +3 more
doaj +1 more source
Bayesian Nonparametric Estimation and Consistency of Mixed Multinomial Logit Choice Models [PDF]
This paper develops nonparametric estimation for discrete choice models based on the Mixed Multinomial Logit (MMNL) model. It has been shown that MMNL models encompass all discrete choice models derived under the assumption of random utility maximization,
Lancelot F. James +2 more
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