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In this paper we extend recent theoretical results on the structure of the probability density function of streamflows forced by stochastic rainfall sequences. Our extension is aimed at incorporating an additional, independent source of variability assumed ...
Hybrid DFT/classical molecular dynamics of the long-lived triplet excited state of [Ru(bpy)3]2+ (bpy=2,2-bipyridine) in aqueous solution is used to investigate the solvent-mediated electron localization and dynamics in the triplet metal-to-ligand charge-tr ...
This paper establishes that every random utility discrete choice model (RUM) has a representation that can be characterized by a choice-probability generating function (CPGF) with specific properties, and that every function with these specific properties ...
We discuss the problem of full counting statistics for periodic pumping. The probability generating function is usually defined on a circle of the "physical" values of the counting parameter, with its periodicity corresponding to charge quantization. The e ...
Solute transport takes place in heterogeneous porous formations, with the log conductivity, Y = ln K, modeled as a stationary random space function of given univariate normal probability density function (pdf) with mean Y, variance σY2, and integral scale ...
We examine the fundamental properties that determine the basic performance metrics for opportunistic communications. We first consider the distribution of intercontact times between mobile devices. Using a diverse set of measured mobility traces, we find a ...
In this paper, we develop a simple analysis method to infer some properties of the watershed processes from daily streamflow data. The method is built on a simple streamflow model with a link to rainfall stochasticity, which characterizes the streamflow as ...
A theoretical stochastic approach is presented for the structural analysis of plunge pool liners dynamically loaded by the impact of free-falling jets. Such an approach was used as the real behaviour of plunge pool liners is complex, and deterministic meth ...
In this paper, we derive an explicit form of the convolution theorem for functions on an n-sphere. Our motivation comes from the design of a probability density estimator for n-dimensional random vectors. We propose a probability density function (pdf) est ...
Institute of Electrical and Electronics Engineers2010
In this paper we address the issue of joint estimation of head pose and facial actions. We propose a method that can robustly track both subtle and extreme movements by combining two types of features: structural features observed at characteristic points ...