James Joseph Balamuta

James Joseph Balamuta
University of Illinois, Urbana-Champaign | UIUC · Department of Statistics

About

13
Publications
1,292
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
121
Citations
Introduction
I’m a visiting assistant professor in the department of Statistics at the University of Illinois at Urbana-Champaign. I write and teach in R and Python just about every single day. I enjoy finding and working on problems that have multiple ways to reach a solution. Research wise, I primarily focus on state-space modeling and psychometrics that often necessitates integrating compiled code routines with R.

Publications

Publications (13)
Article
Restricted latent class models (RLCMs) provide an important framework for supporting diagnostic research in education and psychology. Recent research proposed fully exploratory methods for inferring the latent structure. However, prior research is limited by the use of restrictive monotonicity condition or prior formulations that are unable to inco...
Article
Researchers continue to develop and advance models for diagnostic research in the social and behavioral sciences. These diagnostic models (DMs) provide researchers with a framework for providing a fine-grained classification of respondents into substantively meaningful latent classes as defined by a multivariate collection of binary attributes. A c...
Article
Full-text available
The calibration of (low-cost) inertial sensors has become increasingly important over the past years since their use has grown exponentially in many applications going from unmanned aerial vehicle navigation to 3D-animation. However, this calibration procedure is often quite problematic since the signals issued from these sensors have a complex spe...
Article
R has always provided an application programming interface (API) for extensions. Based on the C language, it uses a number of macros and other low-level constructs to exchange data structures between the R process and any dynamically-loaded component modules authors added to it. With the introduction of the Rcpp package, and its later refinements,...
Preprint
Full-text available
R has always provided an application programming interface (API) for extensions. Based on the C language, it uses a number of macros and other low-level constructs to exchange data structures between the R process and any dynamically-loaded component modules authors added to it. With the introduction of the Rcpp package, and its later refinements,...
Preprint
Full-text available
R has always provided an application programming interface (API) for extensions. Based on the C language, it uses a number of macros and other low-level constructs to exchange data structures between the R process and any dynamically-loaded component modules authors added to it. With the introduction of the Rcpp package, and its later refinements,...
Article
This letter highlights some issues which were overlooked in a recently published paper called maximum likelihood identification of inertial sensor noise model parameters. The latter paper does not consider existing alternative methods, which specifically tackle this issue in a possibly more direct manner and, although remaining a generally valid pr...
Article
Full-text available
The gmwm R package for inference on time series models is mainly based on the quantity called wavelet variance which is derived from a wavelet decomposition of a time series. This quantity provides a means to summarize and graphically represent the features of time series in order to identify possible models. Moreover, it is used as a moment condit...
Article
Full-text available
This paper assesses the psychometric value of allowing test-takers choice in standardized testing. New theoretical results examine the conditions where allowing choice improves score precision. A hierarchical framework is presented for jointly modeling the accuracy of cognitive responses and item choices. The statistical methodology is disseminated...
Conference Paper
A new open-source software platform that, among others, allows to automatically select models for inertial sensor calibration purposes is presented in this paper. This platform consists in a package included in the statistical software R that implements the Generalized Method of Wavelet Moments. This method provides an extremely general framework f...
Conference Paper
This paper presents the new open-source statistical software package for inertial sensor calibration. This platform is based on the Generalized Method of Wavelet Moments that was recently proposed to estimate simple and composite stochastic models that are typically used in sensor calibration. As opposed to existing techniques, this new package all...
Conference Paper
The identification and selection of a small set of models that are able to well describe and predict the error signals coming from inertial sensors is of utmost importance to improve the navigation precision of these devices. For this reason, in this paper we propose a new model selection criterion that has specific improvements on existing criteri...

Network

Cited By