DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE prediction

Bayesian Prediction in Spatial Data Analysis

HURST EXPONENTS FOR NON-PRECISE DATA

We provide a framework for the study of statistical quantitiesrelated to the Hurst phenomenon when the data are non-precise with boundedsupport.

Bayesian multi-view models for data-driven drug response analysis

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Suleiman Ali Khan Name of the doctoral dissertation Bayesian multi-view models for data-driven drug response analysis Publisher School of Science Unit Department of Computer Science Series Aalto University publication series DOCTORAL DISSERTATIONS 105/2015 Field of research Information and Computer Science Manuscript submitted...

Non-Bayesian Estimation and Prediction under Weibull Interval Censored Data

In this paper, a one-sample point predictor of the random variable X is studied. X is the occurrence of an event in any successive visits $L_i$ and $R_i$ :i=1,2…,n (interval censoring). Our proposed method is based on finding the expected value of the conditional distribution of X given $L_i$ and $R_i$ (i=1,2…,n). To make the desired prediction, our approach is on the basis of approximating the...

Bayesian Two-Sample Prediction with Progressively Type-II Censored Data for Some Lifetime Models

Prediction on the basis of censored data is very important topic in many fields including medical and engineering sciences. In this paper, based on progressive Type-II right censoring scheme, we will discuss Bayesian two-sample prediction. A general form for lifetime model including some well known and useful models such asWeibull and Pareto is considered for obtaining prediction bounds ...