9 papers
Structured Bayesian Modeling of Dynamic Receptive1 Fields in Salamander Retinal Ganglion Cells
Alokesh Manna
Neurons in the visual system are selective for specific spatial and temporal stimulus features, described by their \emph{receptive field}. Estimating one means a coefficient per pi…
Bigraphical Matérn-Whittle (BMW) Processes for Fast Inference of Big Multivariate Spatial Data on General Domains
Debangan Dey, Alokesh Manna, Christopher J. Geoga
Large spatial data sets now record many correlated variables at many thousands of locations, often on domains where Euclidean distance misrepresents proximity. The central difficul…
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…
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…
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…
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…
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…
Some Clustering-based Change-point Detection Methods Applicable to High Dimension, Low Sample Size Data
Trisha Dawn, Angshuman Roy, Alokesh Manna +1
Detection of change-points in a sequence of high-dimensional observations is a very challenging problem, and this becomes even more challenging when the sample size (i.e., the sequ…