Three methods for fitting the diffusion model (Ratcliff, 1978) to experimental data are
examined. Sets of simulated data were generated with known parameter values, and from …

A new methodology for constructing convex optimization models called disciplined convex
programming is introduced. The methodology enforces a set of conventions upon the …

Empirical likelihood provides inferences whose validity does not depend on specifying a
parametric model for the data. Because it uses a likelihood, the method has certain inherent …

Reveals How HMMs Can Be Used as General-Purpose Time Series ModelsImplements all
methods in RHidden Markov Models for Time Series: An Introduction Using R applies …

This dissertation explores the building blocks needed to efficiently formulate and solve
optimal control problems. The premise of the thesis is that existing general-purpose solvers …

A new algorithm for computing contact forces between solid objects with friction is
presented. The algorithm allows a mix of contact points with static and dynamic friction. In …

Ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) are
widely used to model control systems in engineering, natural sciences, and economy …

Rotating indifference curves are used to induce an income effect that favors superior brands
at the expense of inferior brands in a discrete choice model. When calibrated on scanner …

The vast majority of empirical research in the behavioral sciences is based on the analysis
of between-person variation. In contrast, much of applied psychology is concerned with the …

The aim of this review paper is to collect and discuss the most relevant and updated
contributions in the literature regarding studies on new or non-conventional technologies for …