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Variable selection in Bayesian multiple instance regression using shotgun stochastic search

Computational statistics & data analysis, 2024-08, Vol.196, Article 107954

2024

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A boosting method to select the random effects in linear mixed models

Biometrics, 2024-01, Vol.80 (1)

2024

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Adaptive variational Bayes: Optimality, computation and applications

The Annals of statistics, 2024-02, Vol.52 (1), p.335

2024

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Bayesian joint species distribution model selection for community‐level prediction

Global ecology and biogeography, 2024-05, Vol.33 (5), p.n/a

2024

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Diagnostic Classification Models for Testlets: Methods and Theory

Psychometrika, 2024-03

2024

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An enriched approach to combining high-dimensional genomic and low-dimensional phenotypic data

Journal of biopharmaceutical statistics, 2024-04, p.1-7

2024

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Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm

Spatial statistics, 2024-06, Vol.61, Article 100815

2024

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Sparse Bayesian Neural Networks: Bridging Model and Parameter Uncertainty through Scalable Variational Inference

Mathematics (Basel), 2024-03, Vol.12 (6), p.788

2024

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Read-First LSTM model: A new variant of long short term memory neural network for predicting solar radiation data

Energy conversion and management, 2024-04, Vol.305, Article 118267

2024

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Machine learning allows for large-scale habitat prediction of a wide-ranging carnivore across diverse ecoregions

Landscape ecology, 2024-05, Vol.39 (5), p.106

2024

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Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects

Biometrics, 2024-01, Vol.80 (1)

2024

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An Efficient Breakdown Characterization for D/T-RESURF SOI LDMOS Using Important Structure Parameters Selection Technique

IEEE transactions on electron devices, 2024-05, Vol.71 (5), p.2869-2875

2024

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A STAM-LSTM model for wind power prediction with feature selection

Energy (Oxford), 2024-06, Vol.296, Article 131030

2024

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Functional form selection and calibration of macroscopic fundamental diagrams

Physica A, 2024-04, Vol.640, Article 129691

2024

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A novel approach to predictor selection among large-scale climate indices for seasonal rainfall forecasting in small catchments

Hydrological sciences journal, 2024-03, Vol.69 (4), p.488-505

2024

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A novel approach for predicting the carbon content of birch leaf litter using Fourier transform infrared (FTIR) spectroscopy

Microchemical journal, 2024-05, Vol.200, Article 110262

2024

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Leveraging Next‐Generation Satellite Remote Sensing‐Based Snow Data to Improve Seasonal Water Supply Predictions in a Practical Machine Learning‐Driven River Forecast System

Water resources research, 2024-04, Vol.60 (4), p.n/a

2024

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StarTrek: Combinatorial variable selection with false discovery rate control

The Annals of statistics, 2024-02, Vol.52 (1), p.78

2024

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Adapting genetic algorithms for artificial evolution of visual patterns under selection from wild predators

PloS one, 2024-05, Vol.19 (5), p.e0295106-e0295106

2024

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Time-varying dynamic Bayesian network learning for an fMRI study of emotion processing

Statistics in medicine, 2024-05

2024

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Spatio-Temporal Deep Learning-Based Forecasting of Surface Solar Irradiance: Leveraging Satellite Data and Feature Selection

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (5), p.888

2024

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Predicting Mechanical Properties of Polymer Materials Using Rate-Dependent Material Models: Finite Element Analysis of Bespoke Upper Limb Orthoses

Polymers, 2024-05, Vol.16 (9), p.1220

2024

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Estimation and selection for spatial zero‐inflated count models

Environmetrics (London, Ont.), 2024-06, Vol.35 (4), p.n/a

2024

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Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data

Biometrics, 2024-01, Vol.80 (1)

2024

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The Potential of Multi-Task Learning in CFDST Design: Load-Bearing Capacity Design with Three MTL Models

Materials, 2024-05, Vol.17 (9), p.1994

2024

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Variable selection in Bayesian multiple instance regression using shotgun stochastic search

A boosting method to select the random effects in linear mixed models

Adaptive variational Bayes: Optimality, computation and applications

Bayesian joint species distribution model selection for community‐level prediction

Diagnostic Classification Models for Testlets: Methods and Theory

An enriched approach to combining high-dimensional genomic and low-dimensional phenotypic data

Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm

Sparse Bayesian Neural Networks: Bridging Model and Parameter Uncertainty through Scalable Variational Inference

Read-First LSTM model: A new variant of long short term memory neural network for predicting solar radiation data

Machine learning allows for large-scale habitat prediction of a wide-ranging carnivore across diverse ecoregions

Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects

An Efficient Breakdown Characterization for D/T-RESURF SOI LDMOS Using Important Structure Parameters Selection Technique

A STAM-LSTM model for wind power prediction with feature selection

Functional form selection and calibration of macroscopic fundamental diagrams

A novel approach to predictor selection among large-scale climate indices for seasonal rainfall forecasting in small catchments

A novel approach for predicting the carbon content of birch leaf litter using Fourier transform infrared (FTIR) spectroscopy

Leveraging Next‐Generation Satellite Remote Sensing‐Based Snow Data to Improve Seasonal Water Supply Predictions in a Practical Machine Learning‐Driven River Forecast System

StarTrek: Combinatorial variable selection with false discovery rate control

Adapting genetic algorithms for artificial evolution of visual patterns under selection from wild predators

Time-varying dynamic Bayesian network learning for an fMRI study of emotion processing

Spatio-Temporal Deep Learning-Based Forecasting of Surface Solar Irradiance: Leveraging Satellite Data and Feature Selection

Predicting Mechanical Properties of Polymer Materials Using Rate-Dependent Material Models: Finite Element Analysis of Bespoke Upper Limb Orthoses

Estimation and selection for spatial zero‐inflated count models

Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data

The Potential of Multi-Task Learning in CFDST Design: Load-Bearing Capacity Design with Three MTL Models

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