Sayar Karmakar
Scholar

Sayar Karmakar

Google Scholar ID: RML8HC0AAAAJ
Assistant Professor, University of Florida
StatisticsTime-seriesEconometricsDeep LearningApplied Probability
Citations & Impact
All-time
Citations
539
 
H-index
14
 
i10-index
19
 
Publications
20
 
Co-authors
31
list available
Resume (English only)
Academic Achievements
  • September 2025: Paper accepted at NeurIPS 2025 as a Spotlight (Top 3%) poster;
  • September 2025: Paper received a revision request from Biometrika;
  • September 2025: Paper received a revision request from Journal of Statistical Physics;
  • September 2025: Submitted a paper on detecting watermarked region in contents proliferated with the help of LLM;
  • September 2025: Paper received a revision request from Bulletin of Economic Research;
  • August 2025: Paper received a revision request from Finance Research Letters;
  • August 2025: Paper received a minor revision from Advances in Applied Probability;
  • May 2025: Submitted a new paper on Gaussian approximations for DFL;
  • May 2025: Paper accepted at Journal of Forecasting;
  • March 2025: Paper accepted at Finance Research Letters;
  • February 2025: Joined the editorial board of Statistical Papers;
  • November 2024: Paper accepted at Transactions of Machine Learning Research;
  • October 2024: Paper accepted at Advances in Applied Probability;
  • September 2024: Paper received a Reject and Resubmit from Applied Probability Trust;
  • August 2024: Paper accepted at Applied Stochastic Models in Business and Industry;
  • July 2024: Paper accepted at Annals of Statistics;
  • July 2024: Submitted a paper on analyzing connectedness of digital asset class;
  • June 2024: Paper on Two-sample tests for high-dimensional covariance matrices received a Major revision from Journal of Multivariate Analysis;
  • May 2024: Paper accepted at Transactions of Machine Learning Research;
  • April 2024: Paper accepted at Climate;
  • April 2024: Paper accepted at Economics Letters;
  • October 2023: Paper received a revision request from Advances in Applied Probability;
  • October 2023: Paper accepted at Electronic Journal of Probability;
  • September 2023: Joined the editorial board of Sankhya A;
  • September 2023: Paper received a revision request from Journal of Commodity Markets;
  • August 2023: Paper accepted at Computational Economics;
  • July 2023: Joined the editorial board of ACM Transactions of Probabilistic Machine learning;
  • June 2023: Paper accepted at Computational Statistics and Data Analysis;
  • May 2023: Paper received a revision request from Electronic Journal of Probability;
  • April 2023: Submitted a paper titled ‘Gaussian approximation for non-stationary time-series with optimal rate and explicit construction’;
  • April 2023: Submitted a paper on phase transitions in percolation games on rooted Galton Watson trees;
  • April 2023: AMS Simons travel grant was granted an extension until June 2024;
  • April 2023: Paper accepted at Research in International Business and Finance;
  • March 2023: Submitted the first paper on analyzing disease propagation as a stochastic process;
  • March 2023: Paper accepted at Resources Policy.
Research Experience
  • May-June 2025: Visiting professor at TU Dortmund, teaching a summer course on High Dimensional Time-series analysis and gave 4 lectures in the TRR summer school on spatial and spatiotemporal statistics.
Background
  • Research interests include Time series, High-Dimensional Statistics, Forecasting, Change-point, VAR models, Econometrics, Gradient Descent methods in Neural Nets, Combinatorial Probability, Networks, Robust Statistics, Posterior consistency.