Ji Meng Loh
Education
Ph.D.; University of Chicago; Statistics; 2001
Post Graduate Diploma; National Institute of Education, Singapore; Education ; 1994
B.S.; Victoria University of Wellington, New Zealand; Mathematics And Physics; 1991
Post Graduate Diploma; National Institute of Education, Singapore; Education ; 1994
B.S.; Victoria University of Wellington, New Zealand; Mathematics And Physics; 1991
Website
2025 Spring Courses
MATH 664 - METHODS FOR STAT CONSULT
MATH 790A - DOCT DISSERTATION & RES
MATH 491 - INDEPENDENT STDY IN MATH
MATH 792B - PRE DOCTORAL RESEARCH
MATH 790A - DOCT DISSERTATION & RES
MATH 491 - INDEPENDENT STDY IN MATH
MATH 792B - PRE DOCTORAL RESEARCH
Past Courses
MATH 244: INT TO PROBABLITY THEORY
MATH 333: PROBABILITY & STATISTICS
MATH 333: PROBABILITY AND STATISTICS
MATH 344: REGRESSION ANALYSIS
MATH 345: MULTIVARIATE DISTRIBUTIONS
MATH 461: INTRO STATISTICAL COMP SAS/R
MATH 461: INTRODUCTION TO STATISTICAL COMPUTING WITH SAS AND R
MATH 478: STAT METHODS IN DATA SCI
MATH 660: INTRO TO STAT COMP W/ SAS & R
MATH 660: INTRODUCTION TO STATISTICAL COMPUTING WITH SAS AND R
MATH 661: APPLIED STATISTICS
MATH 662: PROBABILITY DISTRIBUTIONS
MATH 664: METHODS FOR STAT CONSULT
MATH 664: METHODS FOR STATISTICAL CONSULTING
MATH 665: STATISTICAL INFERENCE
MATH 707: ADVANCED APPLIED MATHEMATICS IV: SPECIAL TOPICS
MATH 333: PROBABILITY & STATISTICS
MATH 333: PROBABILITY AND STATISTICS
MATH 344: REGRESSION ANALYSIS
MATH 345: MULTIVARIATE DISTRIBUTIONS
MATH 461: INTRO STATISTICAL COMP SAS/R
MATH 461: INTRODUCTION TO STATISTICAL COMPUTING WITH SAS AND R
MATH 478: STAT METHODS IN DATA SCI
MATH 660: INTRO TO STAT COMP W/ SAS & R
MATH 660: INTRODUCTION TO STATISTICAL COMPUTING WITH SAS AND R
MATH 661: APPLIED STATISTICS
MATH 662: PROBABILITY DISTRIBUTIONS
MATH 664: METHODS FOR STAT CONSULT
MATH 664: METHODS FOR STATISTICAL CONSULTING
MATH 665: STATISTICAL INFERENCE
MATH 707: ADVANCED APPLIED MATHEMATICS IV: SPECIAL TOPICS
Research Interests
Spatial statistics, in particular, the analysis of spatial point patterns; bootstrap, anomaly detection and dimension reduction in spatial data; astrostatistics; applications in social science, fMRI and EEG, and human mobility.
Journal Article
Samia AlBlwi, Imen Marsit, Besma Khaireddine, Amani Ayad, Ji Meng Loh, Ali Mili. 2025. “Subsumption, Correctness and Relative Correctness: Implications for SoftwareTesting.” Science of Computer Programming, vol. 239, pp. 54.
Wided Ghardallou, Hessam Mohammadi, Richard C Linger, Mark Pleszkoch, Ji Meng Loh, Ali Mili. 2024. “Invariant Relations for Affine Loops.” Springer Verlag, vol. 61, no. 3, pp. 261-314.
Ji Meng Loh, Woncheol Jang, Hoyoung Park. 2023. “Nonparametric inference for symbolic data using kernel methods.” Journal of Nonparametric Statistics.
Qinxia Wang, Ji Meng Loh, Xiaofu He, Yuanjia Wang. 2022. “A Latent State Space Model for Estimating Brain Dynamics from Electroencephalogram (EEG) Data.” Biometrics.
Subha Datta, Ji Meng Loh. 2022. “Sufficient Dimension Reduction for Spatial Point Processes Using Weighted Principal Support Vector Machines.” Statistics and Its Interface, vol. 15, no. 4, pp. 415-431.
Wided Ghardallou, Hessam Mohammadi, Richard C Linger, Mark Pleszkoch, Ji Meng Loh, Ali Mili. 2024. “Invariant Relations for Affine Loops.” Springer Verlag, vol. 61, no. 3, pp. 261-314.
Ji Meng Loh, Woncheol Jang, Hoyoung Park. 2023. “Nonparametric inference for symbolic data using kernel methods.” Journal of Nonparametric Statistics.
Qinxia Wang, Ji Meng Loh, Xiaofu He, Yuanjia Wang. 2022. “A Latent State Space Model for Estimating Brain Dynamics from Electroencephalogram (EEG) Data.” Biometrics.
Subha Datta, Ji Meng Loh. 2022. “Sufficient Dimension Reduction for Spatial Point Processes Using Weighted Principal Support Vector Machines.” Statistics and Its Interface, vol. 15, no. 4, pp. 415-431.
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Chapter
Amani Ayad, Imen Marsit, Mohamed Nazih Omri, Ji Meng Loh, Ali Mili. 2020. “Quantitative Analysis of Mutant Equivalence.” In Martin van Sinderen and L.A. Maciaszek (Eds.), Software Technologies pp. 58-80. Heidelberg, Germany: Springer Verlag, 2020.
Conference Proceeding
“Quantitative Metrics for Mutation Testing”
International Conference on Software Technologies (ICSOFT), July (3rd Quarter/Summer) 2019.
“Joint Screening of Ultra-High Dimensional Variables for Family-Based Genetic Studies”
BMC Proceedings, 2018.
“ Impact of Mutation Operators on the Ratio of Equivalent Mutants”
International Conference on Intelligent Software Methodologies, Tools and Techniques (SOMET 2018), September 2018.
“ Impact of Mutation Operators on Mutant Equivalence”
International Conference on Software Technologies (ICSOFT), June 2018.
“Empirical Glitch explanations”
20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2014.
“A masking index for quantifying hidden glitches”
IEEE 13th International Conference on Data Mining, December 2013.
“Effect of data repair on mining network streams”
International Conference on Data Mining 2013, Data Mining in Networks Workshop, December 2012.
International Conference on Software Technologies (ICSOFT), July (3rd Quarter/Summer) 2019.
“Joint Screening of Ultra-High Dimensional Variables for Family-Based Genetic Studies”
BMC Proceedings, 2018.
“ Impact of Mutation Operators on the Ratio of Equivalent Mutants”
International Conference on Intelligent Software Methodologies, Tools and Techniques (SOMET 2018), September 2018.
“ Impact of Mutation Operators on Mutant Equivalence”
International Conference on Software Technologies (ICSOFT), June 2018.
“Empirical Glitch explanations”
20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2014.
“A masking index for quantifying hidden glitches”
IEEE 13th International Conference on Data Mining, December 2013.
“Effect of data repair on mining network streams”
International Conference on Data Mining 2013, Data Mining in Networks Workshop, December 2012.