February 19, 2015 Type Package Title Nonparametric spatial data analysis Version 2.0 Date 2013-5-20 Author Daniel McMillen Maintainer Daniel McMillen Description Locally weighted regression, semiparametric and conditionally parametric regression, fourier and cubic spline functions, GMM and linearized spatial logit and probit, k-density functions and counterfactuals, nonp...

In recent years, there have been important developments in the simulation analysis of the mixed multinomial logit (MMNL) model as well as in the formulation of increasingly flexible closedform models belonging to the Generalized Extreme Value (GEV) class. In this paper, we bring these developments together to propose a mixed spatially correlated logit (MSCL) model for location-related choices. ...

In many complex multi-agent domains it is impractical to compute exact analytic solutions. An alternate means of analysis applies computational tools to derive and analyze empirical game models. These models are noisy approximations, which raises questions about how to account for uncertainty when analyzing the model. We develop a novel experimental framework and apply it to benchmark meta-stra...

Developing a stable early warning system (EWS) model that is capable to give an accurate prediction is a challenging task. This paper introduces k-nearest neighbour (k-NN) method which never been applied in predicting currency crisis before with the aim of increasing the prediction accuracy. The proposed k-NN performance depends on the choice of a distance that is used where in our analysis; we...

One of the main criticisms to game theory concerns the assumption of full rationality. Logit dynamics is a decentralized algorithm in which a level of irrationality (a.k.a. “noise”) is introduced in players’ behavior. In this context, the solution concept of interest becomes the logit equilibrium, as opposed to Nash equilibria. Logit equilibria are distributions over strategy profiles that poss...

Standard curves from 150 determinations of 10 different hormone radioimmunoassays have been evaluated using the following four procedures: logit transformation as performed by Rodbard, Healy's 4-component-logit, spline approximation and a linear interpolation program. The results, calculated by computer, have been compared with manual analysis as the refernce method. The influece of various cor...

This talk considers the special case of binomial data where repeated measurements are available for identical covariate patterns. Our method is based on various Bayesian approaches for estimating binary logit models. To carry out MCMC sampling with data augmentation, logit models are rewritten as random utility models (RUM) or difference RUM (dRUM). Following earlier papers (Frühwirth-Schnatter...

since the breakdown of the bretton woods system, exchange arrangements of countries have become flexible. several attempts have been made to determine whether the theories of optimum currency areas adequately explain the choice of an exchange rate system. in this paper, the optimum currency area is retested. using cross-section data, a regression analysis of the choice of an exchange rate syste...