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Sayar Karmakar
Sayar Karmakar
Assistant Professor, University of Florida
Verified email at ufl.edu - Homepage
Title
Cited by
Cited by
Year
Understanding the rise of Twitter-based cyberbullying due to COVID-19 through comprehensive statistical evaluation
S Karmakar, S Das
Proceedings of the 54th Hawaii international conference on system sciences, 2021
90*2021
Simultaneous inference for time-varying models
S Karmakar, S Richter, WB Wu
Journal of Econometrics, 2021
34*2021
Bitcoin Mining Activity and Volatility Dynamics in the Power Market
S Karmakar, R Demirer, R Gupta
Economics Letters, 2021
232021
Long-term prediction intervals of economic time series
M Chudý, S Karmakar, WB Wu
Empirical Economics 58 (1), 191-222, 2020
222020
Time-varying auto-regressive models for count time-series
A Roy, S Karmakar
Electronic Journal of Statistics 15 (1), 2905-2938, 2021
21*2021
Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty Afees A. Salisu
A Salisu, R Gupta, S Karmakar, S Das
Resources Policy, 2021
132021
Bayesian modelling of time-varying conditional heteroscedasticity
S Karmakar, A Roy
Bayesian Analysis 1 (1), 1-29, 2020
122020
Provable training of a ReLU gate with an iterative non-gradient algorithm
S Karmakar, A Mukherjee
Neural Networks, 2022
11*2022
Optimal gaussian approximation for multiple time series
S Karmakar, WB Wu
Statistica Sinica 30, 1399-1417, 2020
102020
The Impact of Climate Change on a University Campus’ Energy Use: Use of Machine Learning and Building Characteristics
H Im, RS Srinivasan, D Maxwell, RL Steiner, S Karmakar
Buildings 12 (2), 108, 2022
82022
Long-term prediction intervals with many covariates
S Karmakar, M Chudy, WB Wu
Journal of Time-series Analysis, 2021
82021
Model-Free Time-Aggregated Predictions for Econometric Datasets. Forecasting 2021, 3, 920–933
K Wu, S Karmakar
Feature Papers of Forecasting 2021, 49, 2021
7*2021
An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic
C Perez, S Karmakar
Social Network Analysis and Mining., 2023
62023
On a class of PCA with size-3 neighborhood and their applications in percolation games
D Bhasin, S Karmakar, M Podder, S Roy
Electronic Journal of Probability 28, 1-60, 2023
6*2023
Asymptotic Theory for Simultaneous Inference Under Dependence
S Karmakar
University of Chicago, 2018
62018
Depth-2 neural networks under a data-poisoning attack
S Karmakar, A Mukherjee, T Papamarkou
Neurocomputing, 2023
52023
Time series-based malware detection using hardware performance counters
AP Kuruvila, S Karmakar, K Basu
2021 IEEE International Symposium on Hardware Oriented Security and Trust …, 2021
42021
Towards Size-Independent Generalization Bounds for Deep Operator Nets
P Gopalani, S Karmakar, A Mukherjee
arXiv preprint arXiv:2205.11359, 2024
3*2024
A model-free approach to do long-term volatility forecasting and its variants.
K Wu, S Karmakar
Financial Innovation, 2023
3*2023
Climate risks and predictability of the trading volume of gold: evidence from an INGARCH model
S Karmakar, R Gupta, O Çepni, L Rognone
Resources Policy, 2022
32022
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