A framework fo r statistical modeling of the wideband characterABSTRACT ist ics o f the frequency-selective fad ing mul t ipa th indoor radio channel fo r geolocation applications is presented. Mul t ipath characteristics o f the channel are divided into three classes according t o availability and the strength of the direct line of sight (DLOS) path w i th respect t o the other paths. Statisti...

We describe the construction of statistical models that provide inferences about the probability that subjects will consider events to be memory landmarks. We review methods and report results of experiments probing the classification accuracy and receiver-operator characteristics of the models. Then, we discuss opportunities for integrating models of memory landmarks into computing application...

We can adapt existing techniques for the statistical modeling of music to the modeling of the quality of musical performance, resulting in a fine-grained statistical understanding of ’hardness’ in music performance. This drives AI-assisted applications for improving skill. We present modeling results using various probabilistic models to model performance in the simplified setting of rhythm games.

Smooth curves a.re often used to illustrate the relationship between two variables. They are also an important building block in many recent statistical models. A procedure to estimate such a curve is called a smoother. This paper discusses currently available smoothers and introduces the class of maximum likelihood smoothers. A variety of other statistical techniques are shown to be applicable...

This article presents a conceptual framework for clarifying the network hypotheses embedded in policy theories and how they relate to macrolevel political institutions and microlevel political behavior. We then describe the role of statistical models of networks for testing these hypotheses, including the problem of operationalizing theoretical concepts with the parameters of statistical models...

The placement of an epidural needle is among the most difficult regional anesthetic techniques. Ultrasound has been proposed to improve success of placement. However, it has not become the standard-of-care because of limitations in the depictions and interpretation of the key anatomical features. We propose to augment the ultrasound images with a registered statistical shape model of the spine ...

The use of statistical modeling in baseball has received substantial attention recently in both the media and academic community. We focus on a relatively under-explored topic: the use of statistical models for the analysis of fielding based on high-resolution data consisting of on-field location of batted balls. We combine spatial modeling with a hierarchical Bayesian structure in order to eva...

Cleveland (1979, 1993) introduced the spread-location plot as a diagnostic plot suitable for many types of fitted statistical models. The spread-location plot which plots the absolute residual or square-root absolute residual vs. fitted value along with a robust loess smooth is a useful replacement for the customary practice of plotting residuals vs. fitted values. In this note, we show that ne...

1 Definition and the basic properties The Ising model (IM) was invented by Lenz. His student Ising has found the partition function of the 1d model and tried to solve 2d model but failed. The exact solution of 2d model was found by Onsager in 1942-1944. It is one of the fundamental results in statistical physics. The IM consist of spins σ x = ±1 ascribed to sites of a lattice x. The energy of ...

INTRODUCTION The analysis of functional magnetic resonance imaging (fMRI) data is a complicated procedure. The large data sets are computationally difficult to manipulate and special modeling techniques are necessary to deal with temporal correlation and to apply results beyond the study population. The statistical models used to analyze fMRI data require numerous steps starting with raw data a...