All Stories

  1. Predicting Hospice Use Among American Indian/Alaska Native Persons with End-Stage Kidney Disease

    Article • February 2026, openRxiv

    Farhad Shokoohi

  2. Uncovering alterations in cancer epigenetics via trans-dimensional Markov chain Monte Carlo and hidden Markov models

    Article • Journal of the Royal Statistical Society Series C (Applied Statistics), November 2025, Oxford University Press (OUP)

    Farhad Shokoohi

  3. SP-RF-ARIMA: A sparse random forest and ARIMA hybrid model for electric load forecasting

    Article • Global Energy Interconnection, June 2025, Elsevier

    Farhad Shokoohi

  4. Forecasting Forex EUR/USD Closing Prices Using a Dual-Input Deep Learning Model with Technical and Fundamental Indicators

    Article • Mathematics, April 2025, MDPI AG

    Dr. Abolfazl Saghafi, Farhad Shokoohi

  5. Data-Driven Identification of Early Cancer-Associated Genes via Penalized Trans-Dimensional Hidden Markov Models

    Article • Biomolecules, February 2025, MDPI AG

    Farhad Shokoohi

  6. Identifying Differential Methylation in Cancer Epigenetics via a Bayesian Functional Regression Model

    Article • Biomolecules, May 2024, MDPI AG

    Farhad Shokoohi

  7. SPIN: sex-specific and pathway-based interpretable neural network for sexual dimorphism analysis

    Article • Briefings in Bioinformatics, May 2024, Oxford University Press (OUP)

    Farhad Shokoohi

  8. Analyzing aberrant DNA methylation in colorectal cancer uncovered intangible heterogeneity of gene effects in the survival time of patients

    Article • Scientific Reports, December 2023, Springer Science + Business Media

    Farhad Shokoohi

  9. Uncovering Alterations in Cancer Epigenetics via Trans-Dimensional Markov Chain Monte Carlo and Hidden Markov Models*

    Article • June 2023, Cold Spring Harbor Laboratory Press

    Farhad Shokoohi

  10. Sparse estimation in semiparametric finite mixture of varying coefficient regression models

    Article • Biometrics, May 2023, Wiley

    Farhad Shokoohi

  11. Sparse Estimation in Finite Mixture of Accelerated Failure Time and Mixture of Regression Models with R Package fmrs

    Article • The New England Journal of Statistics in Data Science, January 2023, New England Statistical Society

    Farhad Shokoohi

  12. Identifying Differential Methylation in Cancer Epigenetics via a Bayesian Functional Regression Model

    Article • March 2021, Cold Spring Harbor Laboratory Press

    Farhad Shokoohi

  13. Capturing heterogeneity of covariate effects in hidden subpopulations in the presence of censoring and large number of covariates

    Article • The Annals of Applied Statistics, March 2019, Institute of Mathematical Statistics

    Farhad Shokoohi

  14. A hidden markov model for identifying differentially methylated sites in bisulfite sequencing data

    Article • Biometrics, October 2018, Wiley

    Farhad Shokoohi

  15. Semi-parametric small-area estimation by combining time-series and cross-sectional data methods

    Article • Australian & New Zealand Journal of Statistics, July 2018, Wiley

    Farhad Shokoohi

  16. Non-parametric generalized linear mixed models in small area estimation

    Article • Canadian Journal of Statistics, January 2015, Wiley

    Farhad Shokoohi

  17. Likelihood inference in small area estimation by combining time-series and cross-sectional data

    Article • Journal of Multivariate Analysis, October 2012, Elsevier

    Farhad Shokoohi

  18. Hierarchical Bayes estimation in small area estimation using cross-sectional and time-series data

    Article • Journal of Statistical Computation and Simulation, September 2012, Taylor & Francis

    Farhad Shokoohi