Christopher P. Saunders

发表

A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data

Arnold J. Stromberg, Wenying Zhu, Mai Zhou, 2008, BMC Bioinformatics.

Review and application of functional data analysis to chemical data—The example of the comparison, classification, and database search of forensic ink chromatograms

Cedric Neumann, Christopher P. Saunders, Riley Burfield, 2015 .

Kernel-based methods for source identification using very small particles from carpet fibers

Cedric Neumann, Donald T. Gantz, Douglas Armstrong, 2017 .

Building a unified statistical framework for the forensic identification of source problems

Christopher P. Saunders, Danica M. Ommen, 2018 .

Metamodeling of simulations consisting of time series inputs and outputs

Scott L. Rosen, Samar K. Guharay, Christopher P. Saunders, 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

Configuration of a standoff detection system via rapid, model-based systems engineering

Scott L. Rosen, Samar K. Guharay, Christopher P. Saunders, 2013, 2013 8th International Conference on System of Systems Engineering.

Estimation of likelihood ratios for forensic handwriting analysis

JoAnn Buscaglia, Christopher P. Saunders, Amanda Hepler, 2010 .

Construction and evaluation of classifiers for forensic document analysis

Donald T. Gantz, Christopher P. Saunders, Andrea C. Lamas, 2010, 1004.0678.

A Structured Approach for Rapidly Mapping Multilevel System Measures via Simulation Metamodeling

Scott L. Rosen, Samar K. Guharay, Christopher P. Saunders, 2014, Syst. Eng..

Solar Irradiance Forecasting in Remote Microgrids Using Markov Switching Model

Reinaldo Tonkoski, Santosh Chalise, Semhar Michael, 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

Solar Irradiance Forecasting in Remote Microgrids Using Markov Switching Model

Reinaldo Tonkoski, Santosh Chalise, Semhar Michael, 2017, IEEE Transactions on Sustainable Energy.

Computationally and statistically efficient model fitting techniques

Christopher P. Saunders, S. Rosen, Christine Harvey, 2017 .

The characterization of Monte Carlo errors for the quantification of the value of forensic evidence

Cedric Neumann, Christopher P. Saunders, Danica M. Ommen, 2017 .

Quantifying the weight of fingerprint evidence using an ROC-based Approximate Bayesian Computation algorithm

Christopher P. Saunders, C. Neumann, J. Hendricks, 2018 .

U-statistics for estimating performance metrics in forensic handwriting analysis

Christopher P. Saunders, J. Buscaglia, Cami Fuglsby, 2020, Journal of Statistical Computation and Simulation.

Characterization and differentiation of aluminum powders used in improvised explosive devices – Part 1: Proof of concept of the utility of particle micromorphometry

Christopher P. Saunders, Danica M. Ommen, J. Buscaglia, 2020, Journal of Forensic Sciences.

Reconciling the Bayes Factor and Likelihood Ratio for Two Non-Nested Model Selection Problems

Christopher P. Saunders, Danica M. Ommen, 2019, 1901.09798.

Quantitative accuracy and 3D biometric matching of 388 statistically estimated facial approximations of live subjects

Christopher P. Saunders, K. Monson, Terrie L. Simmons-Ehrhardt, 2020, Forensic Imaging.

A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio

Christopher P. Saunders, Danica M. Ommen, 2021 .

Modeling Common Carp Under-ice Movement Using Hierarchical Markov Simulation

Christopher P. Saunders, Matthew J. Hennen, T. Brandenburger, 2016 .

Two‐stage approach for the inference of the source of high‐dimensional and complex chemical data in forensic science

Cedric Neumann, Douglas Armstrong, Christopher P. Saunders, 2018, Journal of Chemometrics.

EMPIRICAL PROCESSES FOR ESTIMATED PROJECTIONS OF MULTIVARIATE NORMAL VECTORS WITH APPLICATIONS TO E.D.F. AND CORRELATION TYPE GOODNESS OF FIT TESTS

Christopher P. Saunders, 2006 .

Elucidating the relationships between two automated handwriting feature quantification systems for multiple pairwise comparisons

Christopher P. Saunders, Danica M. Ommen, J. Buscaglia, 2021, Journal of Forensic Sciences.

Quantification of the weight of fingerprint evidence using a ROC-based Approximate Bayesian Computation algorithm for model selection

Christopher P. Saunders, C. Neumann, J. Hendricks, 2018, Electronic Journal of Statistics.

A ROC-based Approximate Bayesian Computation algorithm for model selection: application to fingerprint comparisons in forensic science

Christopher P. Saunders, C. Neumann, J. Hendricks, 2018 .

An argument against presenting interval quantifications as a surrogate for the value of evidence.

Cedric Neumann, Christopher P. Saunders, Christopher P Saunders, 2016, Science & justice : journal of the Forensic Science Society.

Score-based likelihood ratios for handwriting evidence.

Amanda B. Hepler, JoAnn Buscaglia, Christopher P. Saunders, 2012, Forensic science international.

Using subsampling to estimate the strength of handwriting evidence via score-based likelihood ratios.

Amanda B. Hepler, JoAnn Buscaglia, Christopher P. Saunders, 2012, Forensic science international.

Forensic discrimination of copper wire using trace element concentrations.

JoAnn Buscaglia, Christopher P. Saunders, Christopher P Saunders, 2014, Analytical chemistry.

Linking ammonium nitrate‐aluminum (AN‐AL) post‐blast residues to pre‐blast explosive materials using isotope ratio and trace elemental analysis for source attribution

Christopher P. Saunders, Joshua R. Dettman, Cami Fuglsby, 2023, Journal of forensic sciences.

A ROC-based Approximate Bayesian Computation algorithm for model selection: application to fingerprint comparisons in forensic science

Christopher P. Saunders, J. H. Hendricks, C. Neumann, 2018 .

Using Automated Comparisons to Quantify Handwriting Individuality *,†,‡

JoAnn Buscaglia, Christopher P. Saunders, Christopher P Saunders, 2011, Journal of forensic sciences.

Characterization and differentiation of aluminum powders used in improvised explosive devices. Part 2: Micromorphometric method refinement and preliminary statistical analysis

Christopher P. Saunders, Danica M. Ommen, J. Buscaglia, 2021, Journal of forensic sciences.

Use of an Automated System to Evaluate Feature Dissimilarities in Handwriting Under a Two‐Stage Evaluative Process*,†

Christopher P. Saunders, Michael P Caligiuri, Danica M Ommen, 2020, Journal of forensic sciences.

A Set of Handwriting Features for Use in Automated Writer Identification ,

JoAnn Buscaglia, Donald T. Gantz, Christopher P. Saunders, 2017, Journal of forensic sciences.