4 papers
Neural Network Models for Contextual Regression
Seksan Kiatsupaibul, Pakawan Chansiripas
We propose a neural network model for contextual regression in which the regression model depends on contextual features that determine the active submodel and an algorithm to fit…
Reinforcement Learning in Credit Scoring and Underwriting
Seksan Kiatsupaibul, Pakawan Chansiripas, Pojtanut Manopanjasiri +2
This paper proposes a novel reinforcement learning (RL) framework for credit underwriting that tackles ungeneralizable contextual challenges. We adapt RL principles for credit scor…
Efficient Computation of the Stochastic Behavior of Partial Sum Processes
Sorawit Saengkyongam, Anthony Hayter, Seksan Kiatsupaibul +1
In this paper the computational aspects of probability calculations for dynamical partial sum expressions are discussed. Such dynamical partial sum expressions have many important…
A Statistical Model with Qualitative Input
Seksan Kiatsupaibul, Pariyakorn Maneekul
A statistical estimation model with qualitative input provides a mechanism to fuse human intuition in the form of qualitative information into a statistical model. We investigate t…