17 citations · 30 across the 23 of their papers we have counts for
5 papers · 1 filter
Nonparametric regression of spatio-temporal data using infinite-dimensional covariates
Subhrajyoty Roy, Soudeep Deb, Sayar Karmakar +1
In spatio-temporal analysis, we often record data at specific time intervals but with varying spatial locations between these timepoints. We propose a conditional model to analyze…
Fast localization of anomalous patches in spatial data under dependence
Soham Bonnerjee, Sayar Karmakar, George Michailidis
We propose a scalable, provably accurate method for localizing an unknown number of multiple axis-aligned anomalous patches in spatial data under a general class of spatial depende…
Long-term prediction intervals with many covariates
Sayar Karmakar, Marek Chudy, Wei Biao Wu
Accurate forecasting is one of the fundamental focus in the literature of econometric time-series. Often practitioners and policy makers want to predict outcomes of an entire time…
Time-varying auto-regressive models for count time-series
Arkaprava Roy, Sayar Karmakar
Count-valued time series data are routinely collected in many application areas. We are particularly motivated to study the count time series of daily new cases, arising from COVID…
Analyzing initial stage of COVID-19 transmission through Bayesian time-varying model
Arkaprava Roy, Sayar Karmakar
Recent outbreak of the novel coronavirus COVID-19 has affected all of our lives in one way or the other. While medical researchers are working hard to find a cure and doctors/nurse…