Intelligent software estimation models are need of the time. With increased development of Bayesian networks for software project management, one requires an explicit Bayesian Network (BN) to provide effort estimates based on historical data. This paper proposes a simple BN, based on classification approach. However the classes of ranges of size value, are distributed with help of fuzzification...

This paper focuses on a Bayes inference model for a simple step-stress life test using Type-I censored sample in a discrete set-up. Assuming the failure times at each stress level are geometrically distributed, the Bayes estimation problem of the parameters of interest is investigated in the both of point and interval approaches. To derive the Bayesian point estimators, some various balanced lo...

Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression. Bayesian inference for nonparametric models enjoys the flexibility of nonparametric models and the exact inference provided by the Bayesian inferenti...

In this paper, we propose an algebraic characterization for equivalent classes of Bayesian networks. Unlike the other characterizations, which are based on the graphical structure of Bayesian networks, our algebraic characterization is derived from the intrinsic algebraic structure of Bayesian networks, i.e., joint probability distribution factorization. The new proposed algebraic characterizat...

A recent empirical study highlighted the shocking result that, for many hyperparameter tuning problems, Bayesian optimization methods can be outperformed by random guessing run for twice as many iterations [1]. This is supported by theoretical results showing the optimality of random search under certain assumptions, but disagrees with other theoretical and empirical results showing that Bayesi...

MOTIVATION Molecular chaperones prevent the aggregation of their substrate proteins and thereby ensure that they reach their functional native state. The bacterial GroEL/ES chaperonin system is understood in great detail on a structural, mechanistic and functional level; its interactors in Escherichia coli have been identified and characterized. However, a long-standing question in the field is...

For Bayesian testing of independence in contingency tables, the priors play an important role regardless of the sample size. The simplest default prior, the uniform prior on the simplex, may sometimes not give sensible answers. However, we show that intrinsic priors derived from the uniform greatly improve the performance of Bayesian tests. The intrinsic priors give more mass to alternative par...

At the core of every decision-making task are two simple features; outcome values and probabilities. Over the past few decades, many models have developed from von Neumann’ and Morgenstern’s (1945) Expected Utility Theory to provide a thorough account of people’s subjective value and probability weighting functions. In particular, one such model that has been largely successful in both Psycholo...