Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Yashin, Anatoli I.
1986.
Stochastic Optimization.
Vol. 81,
Issue. ,
p.
220.
Yashin, Anatoli I.
Manton, Kenneth G.
and
Stallard, Eric
1986.
Evaluating the effects of observed and unobserved diffusion processes in survival analysis of longitudinal data.
Mathematical Modelling,
Vol. 7,
Issue. 9-12,
p.
1353.
Koncz, K.
1987.
On the parameter estimation of diffusional type processes with constant coefficients (Elementary Gaussian Processes).
Analysis Mathematica,
Vol. 13,
Issue. 1,
p.
75.
Luschgy, Harald
1992.
Comparison of location models for stochastic processes.
Probability Theory and Related Fields,
Vol. 93,
Issue. 1,
p.
39.
Yashin, A. I.
1993.
An extension of the Cameron–Martin result.
Journal of Applied Probability,
Vol. 30,
Issue. 01,
p.
247.
Yashin, Anatoli I.
1994.
Hazard rate and observed covariates: a natural way of parametrization.
Stochastic Analysis and Applications,
Vol. 12,
Issue. 3,
p.
379.
Aalen, Odd O.
1997.
Festschrift for Lucien Le Cam.
p.
1.
Manton, Kenneth G.
and
Yashin, Anatoli I.
1997.
Effects of unobserved and partially observed covariate processes on system failure: a review of models and estimation strategies.
Statistical Science,
Vol. 12,
Issue. 1,
Frydman, Halina
2000.
Gussian diffusions and continuous state branching processes with killing.
Communications in Statistics. Stochastic Models,
Vol. 16,
Issue. 2,
p.
189.
Ebrahimi, Nader
2001.
A stochastic covariate failure model for assessing system reliability.
Journal of Applied Probability,
Vol. 38,
Issue. 3,
p.
761.
Ebrahimi, Nader
2001.
A stochastic covariate failure model for assessing system reliability.
Journal of Applied Probability,
Vol. 38,
Issue. 03,
p.
761.
Aalen, Odd O.
and
Gjessing, H�kon K.
2004.
Survival Models Based on the Ornstein-Uhlenbeck Process.
Lifetime Data Analysis,
Vol. 10,
Issue. 4,
p.
407.
Chen, Y.
and
Jin, J.
2005.
Quality-Reliability Chain Modeling for System-Reliability Analysis of Complex Manufacturing Processes.
IEEE Transactions on Reliability,
Vol. 54,
Issue. 3,
p.
475.
Roberts, Gareth O.
and
Sangalli, Laura M.
2010.
Latent diffusion models for survival analysis.
Bernoulli,
Vol. 16,
Issue. 2,
Bian, Linkan
and
Gebraeel, Nagi
2013.
Stochastic methodology for prognostics under continuously varying environmental profiles.
Statistical Analysis and Data Mining: The ASA Data Science Journal,
Vol. 6,
Issue. 3,
p.
260.
Flory, John A.
Kharoufeh, Jeffrey P.
and
Gebraeel, Nagi Z.
2014.
A switching diffusion model for lifetime estimation in randomly varying environments.
IIE Transactions,
Vol. 46,
Issue. 11,
p.
1227.
Erich, Roger
and
Pennell, Michael L.
2015.
Ornstein–Uhlenbeck threshold regression for time-to-event data with and without a cure fraction.
Lifetime Data Analysis,
Vol. 21,
Issue. 1,
p.
1.
Arbeev, Konstantin G.
Ukraintseva, Svetlana V.
and
Yashin, Anatoliy I.
2016.
Dynamics of biomarkers in relation to aging and mortality.
Mechanisms of Ageing and Development,
Vol. 156,
Issue. ,
p.
42.
Arbeev, Konstantin G.
Cohen, Alan A.
Arbeeva, Liubov S.
Milot, Emmanuel
Stallard, Eric
Kulminski, Alexander M.
Akushevich, Igor
Ukraintseva, Svetlana V.
Christensen, Kaare
and
Yashin, Anatoliy I.
2016.
Optimal Versus Realized Trajectories of Physiological Dysregulation in Aging and Their Relation to Sex-Specific Mortality Risk.
Frontiers in Public Health,
Vol. 4,
Issue. ,
Mazzolo, Alain
and
Monthus, Cécile
2022.
Conditioning diffusion processes with killing rates.
Journal of Statistical Mechanics: Theory and Experiment,
Vol. 2022,
Issue. 8,
p.
083207.