Bibliography
Major publications by the team in recent years
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1O. Barriere, A. Echelard, J. Lévy Véhel.
Self-Regulating Processes, in: Electronic Journal of Probability, December 2012. [ DOI : 10.1214/EJP.v17-2010 ]
https://hal.inria.fr/hal-00749742 -
2B. Combès, A. Philippe, P. Lanos, N. Mercier, C. Tribolo, G. Guerin, P. Guibert, C. Lahaye.
A Bayesian central equivalent dose model for optically stimulated luminescence dating, in: Quaternary Geochronology, 2015, vol. 28, pp. 62 - 70. [ DOI : 10.1016/j.quageo.2015.04.001 ]
http://www.sciencedirect.com/science/article/pii/S1871101415300029 -
3A. Echelard, J. Lévy Véhel, A. Philippe.
Statistical estimation of a class of self-regulating processes, August 2014, To appear in Scandinavian Journal of Statistics.
https://hal.inria.fr/hal-00868604 -
4K. J. Falconer, J. Lévy Véhel.
Multifractional, multistable, and other processes with prescribed local form, in: Journal of Theoretical Probability, 2009, vol. 22, no 2, pp. 375-401, The original publication is available at : https://www.springerlink.com. [ DOI : 10.1007/s10959-008-0147-9 ]
https://hal.inria.fr/inria-00539033 -
5M. Frouin, S. Huot, S. Kreutzer, C. Lahaye, M. Lamothe, A. Philippe, N. Mercier.
An improved radiofluorescence single-aliquot regenerative dose protocol for K-feldspars, in: Quaternary Geochronology, 2017, vol. 38, pp. 13 - 24. -
6P. Lanos, A. Philippe.
Event model: a robust Bayesian tool for chronological modeling, December 2015, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01241720 -
7P. Lanos, A. Philippe.
Hierarchical Bayesian modeling for combining Dates in archaeological context, December 2015, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01162404 -
8R. Le Guével, J. Lévy Véhel.
A Ferguson - Klass - LePage series representation of multistable multifractional processes and related processes, in: Bernoulli, 2012, vol. 18, no 4, pp. 1099-1127. [ DOI : 10.3150/11-BEJ372 ]
https://hal.inria.fr/inria-00538985 -
9R. Leipus, A. Philippe, V. Pilipauskaitė, D. Surgailis.
Nonparametric estimation of the distribution of the autoregressive coefficient from panel random-coefficient AR(1) data, in: Journal of Multivariate Analysis, January 2017, vol. 153, pp. 121 - 135. [ DOI : 10.1016/j.jmva.2016.09.007 ]
https://hal.archives-ouvertes.fr/hal-01174833 -
10J. Lévy Véhel, P.-E. Lévy Véhel, V. Lévy Véhel.
A model investigating incentives for illegal cultural goods sharing sites to become legal, January 2015, working paper or preprint.
https://hal.inria.fr/hal-01103048 -
11J. Lévy Véhel.
A simple isochore model evidencing regulation risk, in: IME'2015, Liverpool, 2015. -
12J. Lévy Véhel, C. Walter.
Prudential regulation: is there a danger in reducing the volatility?, in: 9-th Actuarial Research Conference, Santa Barbara, 2014. -
13A. Philippe, M.-A. Vibet.
Analysis of archaeological phases using the CRAN package RChronoModel' A tutorial, July 2016, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01347895
Articles in International Peer-Reviewed Journals
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14F. Barsotti, A. Philippe, P. Rochet.
Hypothesis testing for Markovian models with random time observations, in: Journal of Statistical Planning and Inference, June 2016, vol. 173, pp. 87 - 98. [ DOI : 10.1016/j.jspi.2015.12.009 ]
https://hal.archives-ouvertes.fr/hal-01428011 -
15L. J. Fermin, J. Lévy Véhel.
Variability and singularity arising from poor compliance in a pharmacokinetic model II: the multi-oral case, in: Journal of Mathematical Biology, 2016. [ DOI : 10.1007/s00285-016-1041-1 ]
https://hal.inria.fr/hal-00868621 -
16M. Frouin, S. Huot, S. Kreutzer, C. Lahaye, M. Lamothe, A. Philippe, N. Mercier.
An improved radiofluorescence single-aliquot regenerative dose protocol for K-feldspars, in: Quaternary Geochronology, March 2017, vol. 38, pp. 13 - 24. [ DOI : 10.1016/j.quageo.2016.11.004 ]
https://hal.archives-ouvertes.fr/hal-01427990 -
17R. Leipus, A. Philippe, V. Pilipauskaitė, D. Surgailis.
Nonparametric estimation of the distribution of the autoregressive coefficient from panel random-coefficient AR(1) data, in: Journal of Multivariate Analysis, January 2017, vol. 153, pp. 121 - 135. [ DOI : 10.1016/j.jmva.2016.09.007 ]
https://hal.archives-ouvertes.fr/hal-01174833 -
18N. Mercier, S. Kreutzer, C. Christophe, P. Guibert, C. Lahaye, P. Lanos, A. Philippe, C. Tribolo.
Bayesian statistics in luminescence dating: The ’baSAR’-model and its implementation in the R package ’Luminescence’, in: Ancient TL, 2016, vol. 34, no 2, pp. 14-21.
https://hal.archives-ouvertes.fr/hal-01451482 -
19R. Stoica, A. Philippe, P. Gregori, J. Mateu.
ABC Shadow algorithm: a tool for statistical analysis of spatial patterns stat, in: Statistics and Computing, 2017. [ DOI : 10.1007/s11222-016-9682-x ]
https://hal.archives-ouvertes.fr/hal-01427935
Invited Conferences
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20Y. Huang, J. Levy Vehel, L. Ferro-Famil, A. Reigber.
3D imaging for underfoliage targets using L-band multibaseline polinsar data and sparse estimation methods, in: IGARSS 2016 - IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
https://hal.inria.fr/hal-01418435
International Conferences with Proceedings
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21Y. Huang, J. Lévy Véhel, L. Ferro-Famil, A. Reigber, S. Fortunati.
3D Characterization of Underfoliage Targets Using L-band To- mographic SAR Data and A Wavelet-Based Approach, in: EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar, Hamburg, Germany, June 2016.
https://hal.inria.fr/hal-01418677
Other Publications
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22B. Combès, A. Philippe.
Bayesian analysis of individual and systematic multiplicative errors for estimating ages with stratigraphic constraints in optically stimulated luminescence dating, November 2016, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01346868 -
23G. Gromykov, M. Ould Haye, A. Philippe.
A Frequency-domain test for long range dependence, August 2016, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01353483 -
24Y. Huang, J.-J. Levy, L. Ferro-Famil, A. Reigber.
3D Imaging Of Objects Concealed Below A Forest Canopy Using SAR Tomography At L-Band Data And Wavelet-Based Sparse Estimation, January 2017, working paper or preprint.
https://hal.inria.fr/hal-01451241 -
25A. Philippe, M.-A. Vibet.
Analysis of archaeological phases using the CRAN package RChronoModel' A tutorial, July 2016, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01347895
- 26Volatility stirs, markets unshaken, in: BIS Quarterly Review, BIS Monetary and Economic Department, 2014.
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27E. Aguilera, M. Nannini, A. Reigber.
Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas, in: Geoscience and Remote Sensing, IEEE Transactions on, Dec 2013, vol. 51, no 12, pp. 5283-5295.
http://dx.doi.org/10.1109/TGRS.2012.2231081 -
28M. Alessio, E. Doris, H. Patrik, C. Alex.
Causal Inference by Independent Component Analysis with Applications to Micro- and Macroeconomic Data, in: Jena Economic Research Papers, 2010. -
29S. Bianchi.
Pathwise Identification Of The Memory Function Of Multifractional Brownian Motion With Application To Finance, in: International Journal of Theoretical and Applied Finance, June 2005.
https://ssrn.com/abstract=1888192 -
30C. Borio.
interview in Die Welt, october 2014. -
31B. Boufoussi, M. Dozzi, R. Marty.
Local time and Tanaka formula for a Volterra-type multifractional Gaussian process, in: Bernoulli, 2010.
https://hal.archives-ouvertes.fr/hal-00389740 -
32P. Carr, H. Geman, D. B. Madan, M. Yor.
The Fine Structure of Asset Returns: An Empirical Investigation, 2000. -
33S. Demiralp, K. Hoover.
Searching for the Causal Structure of a Vector Autoregression, in: Oxford Bulletin of Economics and Statistics 65, Supplement, 0305-9049, 2003. -
34A. Echelard, J. Lévy Véhel.
Local Regularity Preserving Signal Denoising I: Hölder Exponents, November 2013, submitted.
https://hal.inria.fr/hal-00879754 -
35F. Ferraro, J. Pfeffer, R. I. Sutton.
Economics Language and Assumptions: How Theories Can Become Self-Fulfilling, in: The Academy of Management Review, 2005, vol. 30, no 1, pp. 8-24.
http://www.jstor.org/stable/20159091 -
36L. Ferro-Famil, M. Neumann.
Recent advances in the derivation of Pol-InSAR statistics: study and applications, in: Proc. EUSAR, June 2008. -
37L. Ferro-Famil, E. Pottier.
Urban area remote sensing from L-band PolSAR data using Time-Frequency techniques, in: IEEE Urban Remote Sensing Joint Event, April 2007, pp. 5045-5048. -
38L. Ferro-Famil, A. Reigber, E. Pottier, W. Boerner.
Scene characterization using sub-aperture polarimetric SAR data analysis, in: IEEE Trans. Geosc. and Remote Sensing, Oct. 2003, vol. 41, no 10, pp. 2264-2276. -
39L. Ferro-Famil, A. Reigber, E. Pottier.
Nonstationary natural media analysis from polarimetric SAR data using a two-dimensional time–frequency decomposition approach, in: Can. J. Remote Sensing, 2005, vol. 31, no 1, pp. 21–29. -
40I. F. Gorodnitsky, J. S. George, B. D. Rao.
Neuromagnetic source imaging with FOCUSS: A recursive weighted minimum norm algorithm, in: J. Electroencephalog. Clinical Neurophysiol, Oct 1995, vol. 95, no 4, pp. 231-251. -
41C. Hu, L. Ferro-Famil, G. Kuang.
Ship Discrimination Using Polarimetric SAR Data and Coherent Time-Frequency Analysis, in: Remote Sensing, 2013, vol. 5, no 12, pp. 6899–6920. [ DOI : 10.3390/rs5126899 ]
https://hal.archives-ouvertes.fr/hal-01128573 -
42Y. Huang, L. Ferro-Famil, C. Lardeux.
Natural environment characterization using hybrid tomographic approaches, in: Proc. PolInSAR, Jan 2011. -
43Y. Huang, L. Ferro-Famil, A. Reigber.
Under-foliage target detection using multi-baseline L-band PolInSAR data, in: Radar Symposium (IRS), 2013 14th International, Dresden, Germany, June 2013.
https://hal.archives-ouvertes.fr/hal-01142799 -
44D. Jon, J.-P. Zigrand, H. S. Shin.
Asset Price Dynamics with Value-at-Risk Constrained Traders, June 2001.
http://dx.doi.org/10.2139/ssrn.302307 -
45R. Le Guével.
An estimation of the stability and the localisability functions of multistable processes, in: Electronic journal of statistics , 2013, vol. 7, pp. 1129-1166. [ DOI : 10.1214/13-EJS797 ]
https://hal.archives-ouvertes.fr/hal-00480881 -
46D. MacKenzie, F. Muniesa, L. Siu.
Do Economists Make Markets?, Princeton University Press, 2007. -
47J. McGinnis, S. Wasick.
Law's Algorithm, 2014.
http://ssrn.com/abstract=2130085 -
48F. Muniesa, M. Callon.
La performativité des sciences économiques, 2008, CSI WORKING PAPERS SERIES 010.
https://halshs.archives-ouvertes.fr/halshs-00258130 -
49J. Pearl, M. Glymour, N. P. Jewell.
Causal Inference in Statistics: A Primer, in: Wiley, 2016. -
50R.-F. Peltier, J. Lévy Véhel.
Multifractional Brownian Motion : Definition and Preliminary Results, Inria, 1995, no RR-2645, Projet FRACTALES.
https://hal.inria.fr/inria-00074045 -
51Q. Peng.
Multifractional Stochastic Volatility Models: Holder regularity, statistical inference and simulation, in: Int. Conf. Sto. Proc. App., 2009. -
52R. Tibshirani.
Regression Shrinkage and Selection Via the Lasso, in: Journal of the Royal Statistical Society, Series B, 1994, vol. 58, pp. 267-288. -
53X. X. Zhu, R. Bamler.
Tomographic SAR Inversion by L1-Norm Regularization-The Compressive Sensing Approach, in: IEEE Transactions on Geoscience and Remote Sensing, Oct 2010, vol. 48, no 10, pp. 3839-3846.