Anne Philippe


Articles

Anne Philippe

  • Couteau, C., Philippe, A., Galharret, JM. et al. UV filters in everyday cosmetic products, a comparative study. "Environ Sci Pollut Res", 31, 2976–2986 (2024).
  • Ould Haye, Mohamedou, Anne Philippe, and Caroline Robet. 2021. “Inference for continuous-time long memory randomly sampled processes. ” Statistical Paper Online Dec 2023
  • F. Baumgarten, A. Philippe, G. Guerin, Sebastian Kreutzer, Reducing computation time in the R-package ‘BayLum’ Ancient TL , Vol. 41, No. 1, 2023 pdf
  • Galharret, Jean-Michel, Anne Philippe 2023 “Bayesian analysis for mediation and moderation using g–priors.” Econometrics and Statistics Online Volume 27, Pages 161-172
  • G. Guerin et al A Third Neanderthal Individual from La FerrassieDated to the End of the Middle Paleolithic PaleoAnthropology 2023 vol 1 pp. 98−118
  • Norbert Mercier, Jean-Michel Galharret, Chantal Tribolo, Sebastian Kreutzer, Anne Philippe (2022) Luminescence age calculation through Bayesian convolution of equivalent dose and dose-rate distributions: the De_Dr model Geochronology Geochronology, Copernicus Publications , 4, pp.297-310
  • Fourcade, T., Sánchez Goñi, M., Lahaye, C., Rossignol, L., & Philippe, A. (2022). Environmental changes in SW France during the Middle to Upper Paleolithic transition from the pollen analysis of an eastern North Atlantic deep-sea core. Quaternary Research, 110, 147-164.
  • G. Guérin B. Lebrun, G. Marchand, A. Philippe (2021) Age-depth modelling and the effect of including – or not – shared errors across sets of OSL samples: the case study of Beg-er-Vil (Brittany, France) Quaternary Geochronology
  • Papoutsis, Panayotis, Bertrand Michel, Anne Philippe, and Tarn Duong.2023. “Bayesian hierarchical models for the prediction of the driver flow and passenger waiting times in a stochastic carpooling service.” Journal of Applied Statistics 50(6) pp 1310-1333
  • Qingfeng Shao, Anne Philippe, Cunding He, Mangu Jin, Mengjie Huang, Yanuo Jiao, Pierre Voinchet, Min Lin, Jean-Jacques Bahain (2022) Applying a Bayesian approach for refining the chronostratigraphy of the Yumidong site in the Three Gorges region, central China, Quaternary Geochronology, 70 Online
  • Ben Arous E, Philippe A, Shao Q, Richter D, Lenoble A, Mercier N, et al. (2022) An improved chronology for the Middle Stone Age at El Mnasra cave, Morocco. PLoS ONE 17(2). Online
  • Lévy Véhel, Jacques, Anne Philippe, and Caroline Robet. 2021. "Explicit and combined estimators for symmetric stable distributions parameters". Statistics . Vol 55 (4) Pages: 736-764 Pages: 736-764 Online
  • Galharret, Jean-Michel, Anne Philippe, and Norbert Mercier. 2021. “Detection of Outliers with a Bayesian Hierarchical Model: Application to the Single-Grain Luminescence Dating Method. Electronic Journal of Applied Statistical Analysis 14(2) P 318-338 online .
  • C. Couteau , A. Philippe, A. Ali, M. Bernet, M. Lecoq, E. Paparis, L. Coiffard. (2021) "Study of the influence of alcohol on the photostability of four UV filters" European Review for Medical and Pharmacological Sciences. 25(19):6025-6033 pdf.
  • Genuite, Kim, Jean-Jacques Delannoy, Jean-Jacques Bahain, Marceau Gresse, Stéphane Jaillet, Anne Philippe, Edwige Pons-Branchu, André Revil, and Pierre Voinchet. 2021. “Dating the Landscape Evolution Around the Chauvet-Pont d’Arc Cave.” Scientific Reports , 11, article Open access
  • Stoica, Radu, Madalina Deaconu, Anne Philippe, and Lluis Hurtado-Gil. +2021. “A new algorithm for approximate Bayesian inference for spatial patterns analysis: properties and applications.” Spatial Statistics Spatial Statistics . Volume 43, 100505.
  • Guérin, G, C. Lahaye, M. Heydari, M. Autzen, J.-P. Buylaert, P. Guibert, et al. 2021. “Modelling systematic and random errors in OSL dating using the R BayLum package.” https://doi.org/10.5194/gchron-2020-40.
  • Philippe, Anne, Caroline Robet, and Marie-Claude Viano. 2021. “Random Discretization of Stationary Continuous Time Processes.” Metrika. https://doi.org/10.1007/s00184-020-00783-1, 84(3), 375-400 .
  • Ghosh, S., P. Sanyal, R. Bhushan, S. P Sati, A. Philippe, and N. Juyal. 2020. “Early Holocene Indian summer monsoon and its impact on vegetation in the Central Himalaya: Insight from δD and δ13C values of leaf wax lipid.” The Holecene 30:7, 1063-1074.
  • Leipus, Remigijus, Anne Philippe, Vytautė Pilipauskaitė, and Donatas Surgailis. 2020. “Estimating Long Memory in Panel Random-Coefficient AR(1) Data.” Journal of Time Series Analysis 41 (4): 520–35. https://doi.org/https://doi.org/10.1111/jtsa.12519.
  • Jha, Deepak Kumar, Prasanta Sanyal, and Anne Philippe. 2020. “Multi-Proxy Evidence of Late Quaternary Climate and Vegetational History of North-Central India: Implication for the Paleolithic to Neolithic Phases.” Quaternary Science Reviews 229: 106121. https://doi.org/https://doi.org/10.1016/j.quascirev.2019.106121.
  • Philippe, Anne, and Marie-Anne Vibet. 2020. “Analysis of Archaeological Phases using the CRAN Package ArchaeoPhases.” Journal of Statistical Software 93 (Code Snippet 1): 1–25.
  • Leipus, Remigijus, Anne Philippe, Vytautė Pilipauskaitė, and Donatas Surgailis. 2019. “Sample Covariances of Random-Coefficient Ar(1) Panel Model.” Electron. J. Statist. 13 (2): 4527–72. https://doi.org/10.1214/19-EJS1632.
  • Philippe, Anne. 2019. “La Statistique Bayésienne Appliquée à La Datation.” Tangente.
  • Philippe, Anne, Guillaume Guérin, and Sebastian Kreutzer. 2019. “BayLum - an R Package for Bayesian Analysis of Osl Ages: An Introduction.” Quaternary Geochronology 49: 16-24,. doi.org/10.1016/j.quageo.2018.05.009
  • Rezakhah, S., A. Philippe, and N. Modarresi. 2018. “Innovative Methods for Modeling of Scale Invariant Processes.” Communications in Statistics - Theory and Methods 47 (13): 3178–91.
  • Philippe, Anne, and Marie-Anne Vibet. 2018a. “A Note on the Bayesian Modeling of the Stratigraphic Chronology of Canimar Abajo, Cuba - Erratum.” Radiocarbon 60 (4): 1283–3.
  • Philippe, Anne, and Marie-Anne Vibet. 2018b. “A Note on the Bayesian Modeling of the Stratigraphic Chronology of Canmar Abajo, Cuba.” Radiocarbon 60 (3): 1001–11.
  • Christophe, Claire, Anne Philippe, Guillaume Guérin, Norbert Mercier, and Pierre Guibert. 2018. “Bayesian Approach to Osl Dating of Poorly Bleached Sediment Samples: Mixture Distribution Models for Dose (Md2).” Radiation Measurements 108: 59–73.
  • Couteau, C., A. Philippe, M.-A. Vibet, E. Paparis, and L. Coiffard. 2018. “Study of the Influence of Substrate and Spectrophotometer Characteristics on the in Vitro Measurement of Sunscreens Efficiency.” European Journal of Pharmaceutical Sciences 121: 210–17.
  • Gromykov, Gennadi, Mohamedou Ould Haye, and Anne Philippe. 2018. “A Frequency-Domain Test for Long Range Dependence.” Statistical Inference for Stochastic Processes 21 (3): 513–26.
  • Lanos, P., and A. Philippe. 2018. “Event Date Model: A Robust Bayesian Tool for Chronology Building.” Communications for Statistical Applications and Methods 25 (2): 131–57. https://doi.org/10.29220/CSAM.2018.25.2.131.
  • Lanos, Philippe, and Anne Philippe. 2017. “Hierarchical Bayesian Modeling for Combining Dates in Archaeological Context.” Journal de La SFdS 158: 72–88.
  • Guérin, G., P. Antoine, E. Schmidt, E. Goval, D. Hérisson, G. Jamet, J. Reyss, et al. 2017. “Chronology of the Upper Pleistocene Loess Sequence of Havrincourt (France) and Associated Palaeolithic Occupations: A Bayesian Approach from Pedostratigraphy, Osl, Radiocarbon, Tl and Esr/U-Series Data.” Quaternary Geochronology 42: 15–30.
  • Guérin, G., C. Christophe, A. Philippe, A. S. Murray, K. J. Thomsen, C. Tribolo, P. Urbanova, et al. 2017. “Absorbed Dose, Equivalent Dose, Measured Dose Rates, and Implications for Osl Age Estimates: Introducing the Average Dose Model.” Quaternary Geochronology 41: 163–73.
  • Stoica, Radu S., Anne Philippe, Pablo Gregori, and Jorge Mateu. 2017. “ABC Shadow Algorithm: A Tool for Statistical Analysis of Spatial Patterns.” Statistics and Computing 27: 1225–38.
  • Leipus, Remigijus, Anne Philippe, Vytautė Pilipauskaitė, and Donatas Surgailis. 2017. “Nonparametric Estimation of the Distribution of the Autoregressive Coefficient from Panel Random-Coefficient Ar(1) Data.” Journal of Multivariate Analysis 153: 121–35.
  • Frouin, M., S. Huot, S. Kreutzer, C. Lahaye, M. Lamothe, A. Philippe, and N. Mercier. 2017. “An Improved Radiofluorescence Single-Aliquot Regenerative Dose Protocol for K-Feldspars.” Quaternary Geochronology 38: 13–24.
  • Combès, Benoit, and Anne Philippe. 2017. “Bayesian Analysis of Individual and Systematic Multiplicative Errors for Estimating Ages with Stratigraphic Constraints in Optically Stimulated Luminescence Dating.” Quaternary Geochronology 39: 24–34.
  • Barsotti, F., A. Philippe, and P. Rochet. 2016. “Hypothesis Testing for Markovian Models with Random Time Observations.” Journal of Statistical Planning and Inference 173: 87–98.
  • Mercier, N., S. Kreutzer, G. Christophe C.and Guérin, P. Guibert, C. Lahaye, P. Lanos, A. Philippe, and C.l Tribolo. 2016. “Bayesian statistics in luminescence dating: The baSAR-model and its implementation in the R package Luminescence.” Ancient TL 34 (December): 14–21.
  • Launay T., Philippe A. Lamarche S. (2015.) Construction of an informative hierarchical prior for a small sample with the help of historical data and application to electricity load forecasting. TEST, 24(2):361–385.
  • Echelard, A., J. Lévy Véhel, and A. Philippe. 2015. “Statistical Estimation for a Class of Self-Regulating Processes.” Scandinavian Journal of Statistics 42: 485–503.
  • Combes, B., A. Philippe, Ph. Lanos, N. Mercier, C. Tribolo, G. Guerin, P. Guibert, and C. Lahaye. 2015. “A Bayesian Equivalent-Dose Model for Optically Stimulated Luminescence Dating.” Quaternary Geochronology 28: 62–70.
  • Leipus, R., A. Philippe, D. Puplinskaite, and D. Surgailis. 2014. “Aggregation and Long Memory: Recent Developments.” Journal of the Indian Statistical Association 52 (1): 71–101.
  • Philippe, A., D. Puplinskaite, and D. Surgailis. 2014. “Contemporaneous Aggregation of Triangular Array of Random-Coefficient Ar(1) Processes.” Journal of Time Series Analysis 35 (1): 16–39.
  • P.-O.Amblard, J.-F.Coeurjolly, F. Lavancier, and A. Philippe. 2013. “Basic Properties of the Multivariate Fractional Brownian Motion.” Séminaire et Congrès Soc Math. France, "Self-Similar Processes and Their Applications" 28.
  • Launay, Tristan, Anne Philippe, and Sophie Lamarche. 2013. “On Particle Filters Applied to Electricity Load Forecasting.” Journal de La SFdS 154: 1–36.
  • Lavancier, F., R. Leipus, A. Philippe, and D. Surgailis. 2013. “Detection of Non-Constant Long Memory Parameter.” Econometric Theory 29: 1009–56.
  • Launay, Tristan, Anne Philippe, and Sophie Lamarche. 2012. “Consistency of the Posterior Distribution and Mle for Piecewise Linear Regression.” Electron. J. Statist. 6: 1307–57.
  • Haye, M. Ould, and A. Philippe. 2011. “Marginal Density Estimation for Linear Processes with Seasonal Long Memory.” Statistics and Probability Letters 81: 1354–64.
  • Lavancier, F., and A. Philippe. 2011. “Convergence of Quadratic Forms for Random Fields and Its Application to the Convergence of Empirical Covariances.” Probability Theory and Related Fields 149 (3-4): 493–514.
  • Lavancier, F., A. Philippe, and D. Surgailis.. 2010. “A Two-Sample Test for Comparison of Long Memory Parameters.” Journal of Multivariate Analysis 10: 2118–36.
  • Davydov, Yu, A. Nagaev, and A. Philippe. 2010. “On Peeling Procedure Applied to a Poisson Point Process.” Advances in Applied Probability 42: 620–30.
  • Philippe, A., and M. C. Viano. 2010. “Random Sampling of Long-Memory Stationary Processes.” Journal of Statistical Planning and Inference. 140: 1110–24.
  • Celov, Dmitrij, Remigijus Leipus, and Anne Philippe. 2010. “Asymptotic Normality of the Mixture Density Estimator in a Disaggregation Scheme.” Journal of Nonparametric Statistics 22 (4): 425–42. https://doi.org/10.1080/10485250903045528.
  • Lavancier, F., A. Philippe, and D. Surgailis. 2009. “Covariance Function of Vector Self-Similar Processes.” Statistics & Probability Letters 79 (23): 2415–21.
  • Philippe, A., D. Surgailis, and M.-C. Viano. 2008. “Time-Varying Fractionally Integrated Processes with Nonstationary Long Memory.” Theory of Probability and Its Applications 52 (4): 651–73.
  • Oppenheim, G., A. Philippe, and J. de Rigal. 2008. “The Particle Filtersand Their Applications.” Chemometrics and Intelligent Laboratory Systems 91: 87–93.
  • Celov, D., R. Leipus., and A. Philippe. 2007. “Time Series Aggregation, Disaggregation and Long Memory.” Lithuanian Mathematical Journal 47: 379–93.
  • Leipus., R., G. Oppenheim, A. Philippe, and M.-C. Viano. 2006. “Orthogonal Series Density Estimation in a Disaggregation Scheme.” Journal of Statistical Planning and Inference. 136: 2547–71.
  • Philippe, A., D. Surgailis, and M.-C. Viano. 2006a. “Almost Periodically Correlated Processes with Long-Memory.” In Dependence in Probability and Statistics, edited by Bertail Ph.; Doukhan P.; Soulier Ph. New-York: Lecture Notes in Statistics, Vol. 187. Springer-Verlag.
  • Philippe, A., D. Surgailis, and M.-C. Viano. 2006b. “Invariance Principle for a Class of Non Stationary Processes with Long Memory.” C. R. Acad. Sci. Paris, Ser. I 342 (6): 269–74.
  • Philippe, A. 2006. “Bayesian Analysis of Autoregressive Moving Average Processes with Unknown Orders.” Computational Statistics and Data Analysis 51 (3): 1904–23.
  • Giraitis, L., R. Leipus., and A. Philippe. 2006. “A Test for Stationarity Versus Trends and Unit Roots for a Wide Class of Dependent Errors.” Econometric Theory 22: 989–1029.
  • Bon, J. L., and A. Philippe. 2004. “Numerical Comparisons of Approximations of Geometric Sums.” Applied Stochastic Models in Business and Industry 20: 37–48.
  • Ould Haye, M., and A. Philippe. 2003. “A Noncentral Limit Theorem for the Empirical Process of Linear Sequences with Seasonal Long Memory.” Mathematical Methods of Statistics 12 (3): 329–57.
  • Brooks, S. P., P. Giudici, and A. Philippe. 2003. “Nonparametric Convergence Assessment for MCMC Model Selection.” Journal of Computational and Graphical Statistics 12: 1–22.
  • Philippe, A., and C. P. Robert. 2003. “Perfect Simulation of Positive Gaussian Distributions.” Statistics and Computing 13: 179–86.
  • Zucker, D., J. Rousseau, Philippe A., and O. Lieberman. 2003. “Asymptotic Expansions for Long-Memory Stationary Gaussian Processes.” In Foundations of Statistical Inference, Proceedings of the Shoresh Conference 2000, edited by Y. Ritov Y. Haitovsky H. R. Lerche. Heidelberg: Physica-Verlag.
  • Philippe, A., and E. Thilly. 2002. “Identification of Locally Self-Similar Gaussian Process by Using Convex Rearrangements.” Methodology and Computing in Applied Probability 4: 195–209.
  • Philippe, A., and J. Rousseau. 2002. “Non Informative Priors in the Case of Gaussian Long-Memory Processes.” Bernoulli 8: 451–73.
  • Bardet, J. M., G. Lang, G. Oppenheim, A. Philippe, S. Stoev, and M. Taqqu. 2002. “Semi-Parametric Estimation of the Long-Range Dependent Processes - a Survey.” In Long-Range Dependence - Theory and Applications, edited by P. Doukhan, G. Oppenheim, and M. Taqqu. Boston: Birkhauser.
  • Bardet, J. M., G. Lang, G. Oppenheim, A. Philippe, and M. Taqqu. 2002. “Generators of Long-Range Dependent Processes - a Survey.” In Long-Range Dependence - Theory and Applications, edited by P. Doukhan, G. Oppenheim, and M. Taqqu. Boston: Birkhauser.
  • Fay, G., and A. Philippe. 2002. “Goodness-of-Fit Test for Long Range Dependent Processes.” ESAIM- P&S 6: 239–58.
  • Philippe, A., and C. P Robert. 2001. “Riemann Sums for MCMC Estimation and Convergence Monitoring.” Statistics and Computing 11: 103–15.
  • Philippe, A. 2000. “Optimal Estimator for the Importance Sampling Method.” Communications in Statistics – Simulation and Computation 29: 97–119.
  • Fourdrinier, D., A. Philippe, and C. P Robert. 2000. “Estimation of Non-Centrality Parameter Under Stein Type Like Losses.” Journal of Statistical Planning and Inference 87: 43–54.
  • Gruet, Marie-Anne, Anne Philippe, and Christian P. Robert. 1999. “MCMC Control Spreadsheets for Exponential Mixture Estimation.” Journal of Computational and Graphical Statistics 8 (2): 298–317. https://doi.org/10.1080/10618600.1999.10474815.
  • Gruet, M. A., A. Philippe, and C. P. Robert. 1998. “Estimation of Exponential Mixture.” In Discretizations and Mcmc Convergence Assessment, edited by Robert C. P., Lecture Notes in Statistics. Vol. 135. New-York: Springer-Verlag.
  • Berger, J. O., A. Philippe, and C. P. Robert. 1998. “Estimation of Quadratic Function - Non Informative Priors for Non-Centrality Parameters.” Statistica Sinica 8: 359–75.
  • Philippe, A., and C. P Robert. 1998a. “Confidence Properties of the Reference Prior for Calibration Model.” TEST 7: 147–60.
  • Philippe, A., and C. P Robert. 1998b. “Linking Discrete and Continuous Chains.” In Discretizations and Mcmc Convergence Assessment, edited by Robert C. P., Lecture Notes in Statistics. Vol. 135. New-York: Springer-Verlag.
  • Gruet, M. A., A. Philippe, and C. P. Robert. 1998c. “Estimation of Exponential Mixture.” In Discretizations and Mcmc Convergence Assessment, edited by Robert C. P., Lecture Notes in Statistics. Vol. 135. New-York: Springer-Verlag.
  • Philippe, A. 1997b. “Simulation of Right and Left Truncated Gamma Distributions by Mixtures.” Statistics and Computing 7 (3): 173–81.
  • Philippe, A. 1997a. “Discussion of S. Richardson and P. Green’s Paper "on Bayesian Analysis of Mixtures with an Unknown Number of Components".” Journal of the Royal Statistical Society 59 (4): 780–81.
  • Philippe, A. 1997c. “Simulation Output by Riemann Sums.” Journal of Statistical Computation and Simulation 59: 295–314.
  • Philippe, A. 1996. “Connections Between Monte Carlo and Numerical Methods. Discussion of G. Casella’s Paper "Statistical Inference and Monte Carlo Algorithms".” TEST 5 (2): 318–23.