Fast simulation of dependability models with general failure, repair and maintenance processes. - Victor F. Nicola; Marvin K. Nakayama; Philip Heidelberger; Ambuj Goyal (FTCS, 1990)

Efficient Methods for Generating Some Exponentially Tilted Random Variates. - Marvin K. Nakayama (WSC, 1992)

Estimation of reliability and its derivatives for large time horizons in Markovian systems. - Perwez Shahabuddin; Marvin K. Nakayama (WSC, 1993)

Fast Simulation of Highly Dependable Systems with General Failure and Repair Processes. - Victor F. Nicola; Marvin K. Nakayama; Philip Heidelberger; Ambuj Goyal (IEEE Trans. Computers, 1993)

Modeling and Analysis of System Dependability Using the System Availability Estimator. - Alvin M. Blum; Ambuj Goyal; Philip Heidelberger; Stephen S. Lavenberg; Marvin K. Nakayama; Perwez Shahabuddin (FTCS, 1994)

Fast simulation methods for highly dependable systems. - Marvin K. Nakayama (WSC, 1994)

Likelihood Ratio Sensitivity Analysis for Markovian Models of Highly Dependable Systems. - Marvin K. Nakayama; Ambuj Goyal; Peter W. Glynn (Oper. Res., 1994)

A Characterization of the Simple Failure-Biasing Method for Simulations of Highly Reliable Markovian Systems. - Marvin K. Nakayama (ACM Trans. Model. Comput. Simul., 1994)

Selecting the Best System in Steady-State Simulations Using Batch Means. - Marvin K. Nakayama (WSC, 1995)

Selecting the Best System in Transient Simulations with Variances Known. - Halim Damerdji; Peter W. Glynn; Marvin K. Nakayama; James R. Wilson (WSC, 1996)

Two-Stage Procedures for Multiple Comparisons with a Control in Steady-State Simulations. - Halim Damerdji; Marvin K. Nakayama (WSC, 1996)

Electronic enterprise engineering: an outline of an architecture. - Michael Bieber; Michael R. Bartolacci; Jerry Fjermestad; Franz J. Kurfess; Qianhong Liu; Marvin K. Nakayama; Ajaz Rana; Wilhelm R. Rossak; Richard B. Scherl; Murat M. Tanik; Jason Tsong-Li Wang; Raymond T. Yeh; et al. (ECBS, 1997)

A New Variance-Reduction Technique for Regenerative Simulations of Markov Chains. - James M. Calvin; Marvin K. Nakayama (WSC, 1997)

Exploiting Multiple Regeneration Sequences in Simulation Output Analysis. - James M. Calvin; Marvin K. Nakayama (WSC, 1998)

On Derivative Estimation of the Mean Time to Failure in Simulations of Highly Reliable Markovian Systems. - Marvin K. Nakayama (Oper. Res., 1998)

Using Permutations in Regenerative Simulations to Reduce Variance. - James M. Calvin; Marvin K. Nakayama (ACM Trans. Model. Comput. Simul., 1998)

On the small-sample optimality of multiple-regeneration estimators. - James M. Calvin; Peter W. Glynn; Marvin K. Nakayama (WSC, 1999)

Two-Stage Multiple-Comparison Procedures for Steady State Simulations. - Halim Damerdji; Marvin K. Nakayama (ACM Trans. Model. Comput. Simul., 1999)

A sampling procedure to estimate risk probabilities in access-control security systems. - Sheldon H. Jacobson; John E. Kobza; Marvin K. Nakayama (Eur. J. Oper. Res., 2000)

Central Limit Theorems for Permuted Regenerative Estimators. - James M. Calvin; Marvin K. Nakayama (Oper. Res., 2000)

Steady state simulation analysis: importance sampling using the semi-regenerative method. - James M. Calvin; Peter W. Glynn; Marvin K. Nakayama (WSC, 2001)

Improving standardized time series methods by permuting path segments. - James M. Calvin; Marvin K. Nakayama (WSC, 2001)

Optimal information dispersal for probabilistic latency targets. - Marvin K. Nakayama; Bülent Yener (Comput. Networks, 2001)

Techniques for fast simulation of models of highly dependable systems. - Victor F. Nicola; Perwez Shahabuddin; Marvin K. Nakayama (IEEE Trans. Reliab., 2001)

Output analysis: a comparison of output-analysis methods for simulations of processes with multiple regeneration sequences. - James M. Calvin; Marvin K. Nakayama (WSC, 2002)

Output analysis: simulation output analysis. - Marvin K. Nakayama (WSC, 2002)

Output analysis: analysis of simulation output. - Marvin K. Nakayama (WSC, 2003)

Permuted Weighted Area Estimators. - James M. Calvin; Marvin K. Nakayama (WSC, 2004)

Permuted derivative and importance-sampling estimators for regenerative simulations. - James M. Calvin; Marvin K. Nakayama (Eur. J. Oper. Res., 2004)

Output analysis for simulations. - Marvin K. Nakayama (WSC, 2006)

Selection and multiple-comparison procedures for regenerative systems. - Marvin K. Nakayama (WSC, 2006)

Permuted Standardized Time Series for Steady-State Simulations. - James M. Calvin; Marvin K. Nakayama (Math. Oper. Res., 2006)

The semi-regenerative method of simulation output analysis. - James M. Calvin; Peter W. Glynn; Marvin K. Nakayama (ACM Trans. Model. Comput. Simul., 2006)

Constrained RNA Structural Alignment: Algorithms and Application to Motif Detection in the Untranslated Regions of Trypanosoma brucei mRNAs. - Mugdha Khaladkar; Vivian Bellofatto; Jason Tsong-Li Wang; Vandanaben Patel; Marvin K. Nakayama (BIBE, 2007)

Single-stage multiple-comparison procedure for quantiles and other parameters. - Marvin K. Nakayama (WSC, 2007)

Fixed-width multiple-comparison procedures using common random numbers for steady-state simulations. - Marvin K. Nakayama (Eur. J. Oper. Res., 2007)

Statistical analysis of simulation output. - Marvin K. Nakayama (WSC, 2008)

Run-length variability of two-stage multiple comparisons with the best for steady-state simulations and its implications for choosing first-stage run lengths. - Marvin K. Nakayama (WSC, 2008)

A Markovian Dependability Model with Cascading Failures. - Srinivasan M. Iyer; Marvin K. Nakayama; Alexandros V. Gerbessiotis (IEEE Trans. Computers, 2009)

Confidence intervals for quantiles and value-at-risk when applying importance sampling. - Fang Chu; Marvin K. Nakayama (WSC, 2010)

A conditional Monte Carlo method for estimating the failure probability of a distribution network with random demands. - Jose H. Blanchet; Juan Li; Marvin K. Nakayama (WSC, 2011)

Asymptotic properties of kernel density estimators when applying importance sampling. - Marvin K. Nakayama (WSC, 2011)

On deriving and incorporating multihop path duration estimates in VANET protocols. - Josiane Nzouonta; Marvin K. Nakayama; Cristian Borcea (ACM Trans. Model. Comput. Simul., 2011)

Using sectioning to construct confidence intervals for quantiles when applying importance sampling. - Marvin K. Nakayama (WSC, 2012)

Confidence intervals for quantiles when applying variance-reduction techniques. - Fang Chu; Marvin K. Nakayama (ACM Trans. Model. Comput. Simul., 2012)

Confidence intervals for quantiles with standardized time series. - James M. Calvin; Marvin K. Nakayama (WSC, 2013)

Quantile estimation when applying conditional Monte Carlo. - Marvin K. Nakayama (SIMULTECH, 2014)

Using sectioning to construct confidence intervals for quantiles when applying antithetic variates. - Marvin K. Nakayama (SummerSim, 2014)

Constructing confidence intervals for a quantile using batching and sectioning when applying latin hypercube sampling. - Hui Dong; Marvin K. Nakayama (WSC, 2014)

Confidence Intervals for Quantiles Using Sectioning When Applying Variance-Reduction Techniques. - Marvin K. Nakayama (ACM Trans. Model. Comput. Simul., 2014)

Estimating a failure probability using a combination of variance-reduction techniques. - Marvin K. Nakayama (WSC, 2015)

Resampled Regenerative Estimators. - James M. Calvin; Marvin K. Nakayama (ACM Trans. Model. Comput. Simul., 2015)

Variance reduction for estimating a failure probability with multiple criteria. - Andres Alban; Hardik A. Darji; Atsuki Imamura; Marvin K. Nakayama (WSC, 2016)

Advantages of variance reduction techniques in establishing confidence intervals for quantiles. - Dave Grabaskas; Marvin K. Nakayama; Richard Denning; Tunc Aldemir (Reliab. Eng. Syst. Saf., 2016)

History of improving statistical efficiency. - Russell R. Barton; Marvin K. Nakayama; Lee Schruben (WSC, 2017)

Quantile estimation using conditional Monte Carlo and Latin hypercube sampling. - Hui Dong; Marvin K. Nakayama (WSC, 2017)

On the estimation of the mean time to failure by simulation. - Peter W. Glynn; Marvin K. Nakayama; Bruno Tuffin (WSC, 2017)

Quantile Estimation with Latin Hypercube Sampling. - Hui Dong; Marvin K. Nakayama (Oper. Res., 2017)

Efficient Monte Carlo methods for estimating failure probabilities. - Andres Alban; Hardik A. Darji; Atsuki Imamura; Marvin K. Nakayama (Reliab. Eng. Syst. Saf., 2017)

Efficient Algorithms for Analyzing Cascading Failures in a Markovian Dependability Model. - Mihir Sanghavi; Sashank Tadepalli; Timothy J. Boyle; Matthew Downey; Marvin K. Nakayama (IEEE Trans. Reliab., 2017)

Using Regenerative simulation to Calibrate exponential Approximations to Risk Measures of Hitting times to rarely Visited Sets. - Peter W. Glynn; Marvin K. Nakayama; Bruno Tuffin (WSC, 2018)

Monte Carlo estimation of Economic Capital. - Zachary T. Kaplan; Yajuan Li; Marvin K. Nakayama (WSC, 2018)

Randomized Quasi-Monte Carlo for Quantile Estimation. - Zachary T. Kaplan; Yajuan Li; Marvin K. Nakayama; Bruno Tuffin (WSC, 2019)

Efficient Estimation of the Mean Hitting Time to a set of A Regenerative System. - Marvin K. Nakayama; Bruno Tuffin (WSC, 2019)

Rare-Event Simulation for Distribution Networks. - Jose H. Blanchet; Juan Li; Marvin K. Nakayama (Oper. Res., 2019)

Comparing Regenerative-Simulation-Based Estimators of the Distribution of the Hitting Time to a Rarely Visited Set. - Peter W. Glynn; Marvin K. Nakayama; Bruno Tuffin (WSC, 2020)

Quantile Estimation Via a Combination of Conditional Monte Carlo and Randomized Quasi-Monte Carlo. - Marvin K. Nakayama; Zachary T. Kaplan; Yajuan Li; Bruno Tuffin; Pierre L'Ecuyer (WSC, 2020)

Sufficient Conditions for a Central Limit Theorem to Assess the Error of Randomized Quasi-Monte Carlo Methods. - Marvin K. Nakayama; Bruno Tuffin (WSC, 2021)

Density Estimators of the Cumulative Reward Up to a Hitting Time to a Rarely Visited Set of a Regenerative System. - Marvin K. Nakayama; Bruno Tuffin (WSC, 2022)

Confidence Intervals for Randomized Quasi-Monte Carlo Estimators. - Pierre L'Ecuyer; Marvin K. Nakayama; Art B. Owen; Bruno Tuffin (WSC, 2023)

Efficiency of Estimating Functions of Means in Rare-Event Contexts. - Marvin K. Nakayama; Bruno Tuffin (WSC, 2023)

Some Asymptotic Regimes for Quantile Estimation. - Marvin K. Nakayama; Bruno Tuffin (WSC, 2024)

Monte Carlo Methods for Economic Capital. - Yajuan Li; Zachary T. Kaplan; Marvin K. Nakayama (INFORMS J. Comput., 2024)

Introduction to the Special Issue for INFORMS Simulation Society (I-Sim) Workshop, 2021. - Russell R. Barton; Marvin K. Nakayama; Uday V. Shanbhag; Eunhye Song (ACM Trans. Model. Comput. Simul., 2024)

Sufficient Conditions for Central Limit Theorems and Confidence Intervals for Randomized Quasi-Monte Carlo Methods. - Marvin K. Nakayama; Bruno Tuffin (ACM Trans. Model. Comput. Simul., 2024)