To better understand the capacity of Lagrangian Stochastic Models to simulate superdiffusive and subdiffusive tracer motion in oceanic turbulence, we examine their performance on a simple class of model velocity fields which support subdiffusive or superdiffusive regimes of tracer transport associated to power-law regions of the Lagrangian power spectrum. We focus on how well the Lagrangian Sto...

Airfares are determined by both intertemporal price discrimination and dynamic adjustment to stochastic demand. I estimate a model of dynamic airline pricing accounting for both forces with new flight-level data. With model estimates, I disentangle key interactions between the arrival pattern of consumer types and remaining capacity under stochastic demand. I show that the forces are complement...

Airfares are determined by both intertemporal price discrimination and dynamic adjustment to stochastic demand. I estimate a model of dynamic airline pricing accounting for both forces with new flight-level data. With model estimates, I disentangle key interactions between the arrival pattern of consumer types and remaining capacity under stochastic demand. I show that the forces are complement...

This work develops a class of stochastic optimization algorithms. It aims to provide numerical procedures for solving thresholdtype optimal control problems. The main motivation stems from applications involving optimal or suboptimal hedging policies, for example, production planning of manufacturing systems including random demand and stochastic machine capacity. The proposed algorithm is a co...

Aperiodic stochastic resonance proposed by Collins et al 1,2 describes the noiseenhanced effect in neural excitable systems for transmitting aperiodic (arbitrary) signals. This notion emphasizes the shape matching between the input and the output signals in biological information processing, and also breaks the limitation of stochastic resonance systems with periodic inputs. In order to charact...

This paper considers the problem of coding over a discrete memoryless channel (DMC) with noiseless feedback. The paper provides a stochastic control view of a variable-length version of the posterior matching scheme which is analyzed via a recently proposed symmetrized divergence, termed Extrinsic Jensen–Shannon (EJS) divergence. In particular, under the variable-length posterior matching schem...

We study the value and quality of deterministic solutions to scheduled stochastic capacitated multi-commodity service network design problems. We study both the fixed and variable (integer and continuous) capacity cases, and investigate models with and without asset-balance constraints. For the deterministic cases, we replace the random variables in the stochastic model with the 50 th and the 7...

The problem consists in finding a transshipment facilities location which maximizes the total net utility when the handling utilities at the facilities are stochastic variables, under supply, demand, and lower and upper capacity constraints. The total net utility is given by the expected total shipping utility minus the total fixed cost of the located facilities. Shipping utilities are given by...

We consider the problem of characterizing the locational marginal value of energy storage capacity in electric power networks with stochastic renewable supply and demand. The perspective taken is that of a system operator, whose objective is to minimize the expected cost of firm supply required to balance a stochastic net-demand process over a finite horizon, subject to transmission and energy ...

In this paper, we consider a variant of an M/M/c/c loss system with fluctuating server capacity. Given a set of primary inputs, such as arrival rate, service rate, and capacity fluctuation rate, we develop a detailed model using MRGP, such that blocking and dropping metrics can be calculated explicitly. To gain insight into performance implications of a stochastic capacity queue, we conduct an ...