Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
GitHub

STK: a Small (Matlab/Octave) Toolbox for Kriging

STK is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at ...
IEEE

Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method With AR Models

Abstract: To develop a new generation advanced driver assistance system that avoids a dangerous condition in advance, we need to predict driving behaviors. Since a nonparametric Bayesian method with a ...
IEEE

Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images

Abstract: Nonparametric Bayesian methods are considered for recovery of imagery based upon compressive, incomplete, and/or noisy measurements. A truncated beta-Bernoulli process is employed to infer ...
Scientific Research Publishing

Zeldow, B.M. (2017) Bayesian Nonparametric Methods for Causal Inference and Prediction. Doctor’s Thesis, University of Pennsylvania.

ABSTRACT: Modeling dynamic systems with linear parametric models usually suffer limitation which affects forecasting performance and policy implications. This paper advances a non-parametric ...
Scientific Research Publishing

Hill, J.L. (2011) Bayesian Nonparametric Modeling for Causal Inference. Journal of Computational and Graphical Statistics, 20, 217-240.

ABSTRACT: Modeling dynamic systems with linear parametric models usually suffer limitation which affects forecasting performance and policy implications. This paper advances a non-parametric ...