Get started
Author

Jeffrey Pai

Observed names: J. S. Pai, JEFFREY PAI, Jeffrey S. C. Pai, Jeffrey S. Pai
OpenAlex ID: A5000079947
An algorithm for estimating parameters of state-space models
1996 · Lilian Shiao-Yen Wu, Jeffrey S. Pai, et al. · Statistics & Probability Letters · 59
Factors affecting crop insurance purchases in China: the Inner Mongolia region
2011 · Milton Boyd, Jeffrey Pai, et al. · China Agricultural Economic Review · 57
Bayesian analysis of autoregressive fractionally integrated moving‐average processes
1998 · Jeffrey S. Pai, Nalini Ravishanker · Journal of Time Series Analysis · 37
Bayesian modelling of ARFIMA processes by Markov chain Monte Carlo methods
1996 · Jeffrey S. Pai, Nalini Ravishanker · Journal of Forecasting · 29
Crop Insurance Principles and Risk Implications for China
2011 · Milton Boyd, Jeffrey Pai, et al. · Human and Ecological Risk Assessment An International Journal · 26
Factors affecting farmers’ willingness to purchase weather index insurance in the Hainan Province of China
2015 · Jia Lin, Milton Boyd, et al. · Agricultural Finance Review · 24
A Portfolio Optimization Approach Using Combinatorics With a Genetic Algorithm for Developing a Reinsurance Model
2014 · Lysa Porth, Jeffrey Pai, et al. · Journal of Risk & Insurance · 19
Insurance Premium Calculation Using Credibility Analysis: An Example From Livestock Mortality Insurance
2014 · Jeffrey Pai, Milton Boyd, et al. · Journal of Risk & Insurance · 19
Bayesian analysis of compound loss distributions
1997 · Jeffrey S. Pai · Journal of Econometrics · 19
Earthquake parametric insurance with Bayesian spatial quantile regression
2022 · Jeffrey Pai, Yunxian Li, et al. · Insurance Mathematics and Economics · 15
On the nth stop-loss transform order of ruin probability
2003 · Yu Cheng, Jeffrey S. Pai · Insurance Mathematics and Economics · 15
A decision framework for optimal crop reinsurance selection
2010 · Jeffrey S. Pai, Milton S. Boyd · China Agricultural Economic Review · 12
Reducing Risk Through Pooling and Selective Reinsurance Using Simulated Annealing: An Example from Crop Insurance
2016 · Lysa Porth, Milton Boyd, et al. · The Geneva Risk and Insurance Review · 11
Livestock mortality insurance: development and challenges
2013 · Milton Boyd, Jeffrey Pai, et al. · Agricultural Finance Review · 11
Bayesian analysis of concurrent time series with application to regional IBM revenue data
1994 · Jeffrey Pai, Nalini Ravishanker, et al. · Journal of Forecasting · 8
Hedging crop yield with exchange-traded weather derivatives
2016 · Rui Zhou, Johnny Siu-Hang Li, et al. · Agricultural Finance Review · 7
A multivariate preconditioned conjugate gradient approach for maximum likelihood estimation in vector long memory processes
2009 · Jeffrey Pai, Nalini Ravishanker · Statistics & Probability Letters · 7
Exact Likelihood Function Forms for an ARFIMA Process
1996 · Jeffrey S. Pai, Nalini Ravishanker · Studies in classification, data analysis, and knowledge organization · 7
Livestock mortality catastrophe insurance using fatal shock process
2019 · Jeffrey Pai, Nalini Ravishanker · Insurance Mathematics and Economics · 6
Pricing temperature derivatives with a filtered historical simulation approach
2019 · Rui Zhou, Johnny Siu-Hang Li, et al. · European Journal of Finance · 6
PDF
Fast Bayesian Estimation for VARFIMA Processes with Stable Errors
2010 · Jeffrey S. Pai, Nalini Ravishanker · Journal of Statistical Theory and Practice · 6
Evaluating effectiveness of rainfall index insurance
2018 · Rui Zhou, Johnny Siu-Hang Li, et al. · Agricultural Finance Review · 5
Compound Poisson Model with Covariates
2006 · Jeffrey S. Pai, Kevin J. Shand, et al. · North American Actuarial Journal · 3
Bayes Inference for Technological Substitution Data with Data-based Transformation
1997 · LYNN KUO, JACK LEE, et al. · Journal of Forecasting · 3
Maximum likelihood estimation in vector long memory processes via EM algorithm
2009 · Jeffrey Pai, Nalini Ravishanker · Computational Statistics & Data Analysis · 2
Works count: 34
Citation count: 416
H-index: 12
I10-index: 14
Year
Topic
Type