6 papers
Scalable spatial point process models for forensic footwear analysis
Alokesh Manna, Neil Spencer, Dipak K. Dey
Shoe print evidence recovered from crime scenes plays a key role in forensic investigations. By examining shoe prints, investigators can determine details of the footwear worn by s…
How Large Language Models Get Stuck: Early structure with persistent errors
Alokesh Manna, William Snyder, Whitney Tabor
Linguistic insights may help make Large Language Model (LLM) training more efficient. We trained Meta's OPT model on the 100M word BabyLM dataset, and evaluated it on the BLiMP ben…
Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
Alokesh Manna, Sujit K. Ghosh
We develop a Bayesian framework for variable selection in linear regression with autocorrelated errors, accommodating lagged covariates and autoregressive structures. This setting…
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
Alokesh Manna, Zijian Huang, Dipak K. Dey +2
The Tweedie exponential dispersion family is a popular choice among many to model insurance losses that consist of zero-inflated semicontinuous data. In such data, it is often impo…
Distribution-free inference for LightGBM and GLM with Tweedie loss
Alokesh Manna, Aditya Vikram Sett, Dipak K. Dey +3
Prediction uncertainty quantification is a key research topic in recent years scientific and business problems. In insurance industries (\cite{parodi2023pricing}), assessing the ra…
Development of a Statistical Predictive Model for Daily Water Table Depth and Important Variables Selection for Inference
Alokesh Manna, Sushant Mehan, Devendra M. Amatya
Accurately predicting water table dynamics is vital for sustaining groundwater resources that support ecological functions and anthropogenic activities. This study evaluates a stat…