This document provides the statistical background for the Bayesian model averaging continual reassessment method (BMA-CRM). The BMA-CRM is a Bayesian model-based phase I clinical trial design. The primary goal of the BMA-CRM is to identify the maximum tolerated dose (MTD) of a new drug, which is typically defined as the dose with a doselimiting toxicity (DLT) probability that is closest to the ...

In this paper we interpret the Berlekamp-Massey algorithm (BMA) for synthesis of linear feedback shift register (LFSR) as an algorithm computing Pade approximants for Laurent series over arbitrary field. This interpretation of the BMA is based on a iterated procedure for computing of the sequence of polynomials orthogonal to some sequence of polynomial spaces with scalar product depending on th...

Abstract— In this paper, we present a hard-decision decoding technique based on Genetic Algorithms (HDGA), which is applicable to the general case where the only known structure is given by the generating matrix G. We also present a new soft-decision decoding based on HDGA and the Chase algorithm (SDGA). The simulations, applied on some binary Linear Block Codes, show that the genetic decoder h...

Bayesian model averaging (BMA) methods are regularly used to deal with model uncertainty in regression models. This paper shows how to introduce Bayesian model averaging methods in quantile regressions, and allow for di¤erent predictors to a¤ect di¤erent quantiles of the dependent variable. I show that quantile regression BMA methods can help reduce uncertainty regarding outcomes of future in‡a...

Abstract Prejudice and bias-motivated aggression (BMA) are pervasive social problems. Scholars have tested numerous competing theoretical models to demonstrate the key predicates of prejudice BMA, including intergroup contact, dual process (i.e., right-wing authoritarianism dominance orientation), perceived injustice, peer socialization, empathy. Yet, studies date not empirically examined compa...

The paper describes an approach to vehicle detection and tracking fully based on the Block Matching Algorithm (BMA), which is the motion estimation algorithm employed in the MPEG compression standard. BMA partitions the current frame in small, fixed size blocks and matches them in the previous frame in order to estimate blocks displacement (referred to as motion vectors) between two successive ...

[1] Most studies in vadose zone hydrology use a single conceptual model for predictive inference and analysis. Focusing on the outcome of a single model is prone to statistical bias and underestimation of uncertainty. In this study, we combine multiobjective optimization and Bayesian model averaging (BMA) to generate forecast ensembles of soil hydraulic models. To illustrate our method, we use ...