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Early childhood factors and health pathways to disability and death in mid-ages — a multi-state time-to-event model

Developmental programming literature in microbiology emphasizes that much of the process of health development throughout life is …

Lakshmi K Raut

Early childhood factors and health pathways to disability and death in mid-ages — a multi-state time-to-event model

Deep Neural Network Machine Learning Models for Prediction of Risks of Various Diseases in Mid-Ages

Prediction of risks of various diseases and identification of factors that influence these risks are important for public policies and …

Lakshmi K Raut

Deep Neural Network Machine Learning Models for Prediction of Risks of Various Diseases in Mid-Ages

Machine learning imputation of race in statistical estimates of disability and mortality risks using Social Security administrative data

Data on race and ethnicity at the individual level is much needed to measure racial differences in social outcomes. Legally observable …

Lakshmi K Raut

Machine learning imputation of race in statistical estimates of disability and mortality risks using Social Security administrative data

Pathways to Disability and Death in Middle Ages: Estimates from the Health and Retirement Study Data

I review the microbiology literature on aging, finding that much of the process of health development over the lifespan is determined …

Lakshmi K Raut

Pathways to Disability and Death in Middle Ages: Estimates from the Health and Retirement Study Data

Early childhood factors and health and Human capital

In this paper I survey the microbiology, psychology and Economics literatures on human development, focusing on the role of early …

Lakshmi K Raut

Health Outcomes in Mid-Ages: Multistate time to event Statistical Models versus Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) Models

Health outcomes such as serious diseases, disability and death develop sequentially over one’s life span. Genetic and epigenetic …

Lakshmi K Raut

Health Outcomes in Mid-Ages: Multistate time to event Statistical Models versus Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) Models

A non-standard analysis of random order values of non-atomic games

Using techniques from the non-standard analysis, a non-standard analogue of the Aumann-Shapley random order value of non-atomic games …

Lakshmi K. Raut

A Reformulation of the Aumann-Shapley Random Order Values of Non-Atomic Games Using Invariant Measures

In this paper the AumannShapley random order approach to values of nonatomic games is reformulated by restricting the set of random …

Lakshmi K. Raut

A Reformulation of the Aumann-Shapley Random Order Values of Non-Atomic Games Using Invariant Measures

Altruism, Gaussian curvature and Pareto Optimality: An Implication for Sen’s Meta Ranking Ethical Principle

The paper extends the Samuelsonian overlapping generations framework to encompass a variety of altruistic preferences, recasting it …

Lakshmi K. Raut

Altruism, Gaussian curvature and Pareto Optimality: An Implication for Sen’s Meta Ranking Ethical Principle

Identification of Structural Parameters in Stochastic Dynamic Programming Models

Structural Dynamic Programming Models are not in general econometrically identified. The paper finds general conditions for …

Lakshmi K. Raut