18 papers
Bayesian Signaling and Entry Decisions under Uncertain Market Conditions
Mustapha Nyenye Issah, Paramahansa Pramanik
We develop a continuous-time entry-deterrence game in which market demand evolves according to the Chan-Karolyi-Longstaff-Sanders (CKLS) stochastic differential equation, allowing…
Designing robust molecular spins for quantum technologies with theoretical chemistry
Timothy J. Krogmeier, Pranay Venkatesh, Mikayla Z. Fahrenbruch +3
Molecular spins represent a versatile platform for quantum information science, with the potential to offer chemically tunable, addressable qubits. However, achieving this requires…
Stochastic Choice with Distribution-Dependent Preferences
Paramahansa Pramanik
We develop a continuous-time stochastic choice theory with endogenous preference evolution. Unlike dynamic random utility, observed behavior affects future preferences through the…
Modeling Educational Performance Using School Demographics and Teacher Characteristics
Brianna Reed, Paramahansa Pramanik
High-dimensional educational datasets often exhibit sparsity, grouped predictors, and locally correlated covariates, limiting the effectiveness of conventional regression methods.…
Optimal Harvesting under Stochastic Control: HJB Equation and Feynman-Kac Representation
Paramahansa Pramanik, Fatamatuj Johora
Sustainable resource management requires harvesting strategies that account for environmental variability and ecological uncertainty. This study investigates optimal harvesting of…
Obesity and Sociodemographic Factors in Luminal Breast Cancer
Vacanti Anderson, Paramahansa Pramanik, Haley K. Robinson
Luminal breast cancers represent the most prevalent molecular subtype of breast carcinoma, with Luminal A tumors generally associated with more favorable clinical outcomes than Lum…