Inside individual cells, expression of genes is inherently stochastic and manifests as cell-to-cell variability or noise in protein copy numbers. Since proteins half-lives can be comparable to the cell-cycle length, randomness in cell-division times generates additional intercellular variability in protein levels. Moreover, as many mRNA/protein species are expressed at low-copy numbers, errors ...

Stochastic Galerkin methods have become a significant tool for the resolution of stochastic partial differential equations (SPDE). However, they suffer from prohibitive computational times and memory requirements when dealing with large scale applications and high stochastic dimensionality. Some alternative techniques, based on the construction of suitable reduced deterministic or stochastic ba...

In urban areas, logistic transportation operations often run into problems because travel speeds change, depending on the current traffic situation. If not accounted for, time-dependent and stochastic travel speeds frequently lead to missed time windows and thus poorer service. Especially in the case of passenger transportation, it often leads to excessive passenger ride times as well. Therefor...

A often rely on methods that presume constant stochastic variance, even though its degree can differ markedly across experimental and field settings. This reliance can lead to misestimation of effect sizes or unjustified theoretical or behavioral inferences. Classic utility-based discrete-choice theory makes sharp, testable predictions about how observed choice patterns should change when stoch...

Advanced Resources Planning hits the bottom of what we know as aggregate planning. This approach differs from other approaches in the way that it explicitly recognizes the stochastic nature of manufacturing systems. Therefore it is an ideal high level tuning and planning tool which can be used in various planning environments like MRP, ERP, JIT, Load Oriented Planning, Theory of Constraints, Fi...

The lifecycles of many products are becoming shorter and shorter as innovation and timeto-market become key aspects of modern corporations' success in the marketplace. Few methods for inventory management exist that are capable of contending with product lifecycles measured in months rather than years. This situation is especially acute in the semiconductor industry, where a single generation o...

The estimation of discrete choice models requires collecting data about the socioeconomic characteristics of individuals and measuring the attributes describing the alternatives within each individual’s choice set. Even though some attributes are intrinsically stochastic (e.g. travel times) or are subject to non-negligible measurement errors (e.g. waiting times), they are usually assumed fixed ...