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Titre : Bayesian essentials with R Type de document : Monographie Auteurs : Jean-Michel Marin, Auteur ; Christian P. Robert, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Importance : 296 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-4614-8687-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] algorithme de Métropolis-Hastings
[Termes IGN] classification bayesienne
[Termes IGN] échantillonnage de Gibbs
[Termes IGN] méthode de Monte-Carlo par chaînes de Markov
[Termes IGN] modèle linéaire
[Termes IGN] problème de Dirichlet
[Termes IGN] R (langage)
[Termes IGN] régression linéaire
[Termes IGN] série temporelle
[Termes IGN] théorème de BayesRésumé : (éditeur) This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. The stakes are high and the reader determines the outcome. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. This works in conjunction with the bayess package. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels, as exemplified by courses given at Université Paris Dauphine (France), University of Canterbury (New Zealand), and University of British Columbia (Canada). It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics. A strength of the text is the noteworthy emphasis on the role of models in statistical analysis. Note de contenu : 1- User’s Manual
2- Normal Models
3- Regression and Variable Selection
4- Generalized Linear Models
5- Capture–Recapture Experiments
6- Mixture Models
7- Time Series
8- Image AnalysisNuméro de notice : 25759 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie En ligne : https://link.springer.com/book/10.1007%2F978-1-4614-8687-9#toc Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94954 Mapping GPS positional errors using spatial linear mixed models / A.F. Militino in Journal of geodesy, vol 87 n° 7 (July 2013)
[article]
Titre : Mapping GPS positional errors using spatial linear mixed models Type de document : Article/Communication Auteurs : A.F. Militino, Auteur ; M.D. Ugarte, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 675 - 685 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] carte thématique
[Termes IGN] données GPS
[Termes IGN] erreur de positionnement
[Termes IGN] estimation statistique
[Termes IGN] modèle linéaire
[Termes IGN] Navarre (Espagne)
[Termes IGN] précision des mesures
[Termes IGN] réseau géodésiqueRésumé : (Auteur) Nowadays, GPS receivers are very reliable because of their good accuracy and precision; however, uncertainty is also inherent in geospatial data. Quality of GPS measurements can be influenced by atmospheric disturbances, multipathing, synchronization of clocks, satellite geometry, geographical features of the observed region, low broadcasting coverage, inadequate transmitting formats, or human or instrumental unknown errors. Assuming that the scenario and technical conditions that can influence the quality of GPS measurements are optimal, that functional and stochastic models that process the signals to a geodetic measurement are correct, and that all the GPS observables are taken in the same conditions, it is still possible to estimate the positional errors as the difference between the real coordinates and those measured by the GPS. In this paper, three spatial linear mixed models, one for each axis, are used for modelling real-time kinematic GPS accuracy and precision, of a multiple-reference-station network in dual-frequency with carrier phase measurements. Along the paper, the proposed models provide an estimate of the “accuracy” in terms of bias defined as the difference between real coordinates and measured coordinates after being processed and “precision” through the standard errors of the estimated differences. This is done using ten different transmitting formats. Mapping and quantifying these differences can be interesting for users and GPS professionals. The performance of these models is illustrated by mapping positional error estimates within the whole region of Navarre, Spain. Sampled data have been taken in 54 out of the 211 geodetic vertex points of this region. Maps show interesting error patterns depending on transmitting formats, the different axes, and the geographical characteristics of the region. Higher differences are found in regions with bad broadcasting coverage, due to the presence of mountains and high degree of humidity. Numéro de notice : A2013-401 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-013-0638-z Date de publication en ligne : 03/09/2013 En ligne : https://doi.org/10.1007/s00190-013-0638-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32539
in Journal of geodesy > vol 87 n° 7 (July 2013) . - pp 675 - 685[article]Réservation
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Titre : Bayesian and frequentist regression methods Type de document : Monographie Auteurs : Jon Wakefield, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2013 Importance : 697 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-4419-0925-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] estimation bayesienne
[Termes IGN] fonction spline
[Termes IGN] inférence
[Termes IGN] méthode du maximum de vraisemblance (estimation)
[Termes IGN] méthode fondée sur le noyau
[Termes IGN] modèle de régression
[Termes IGN] modèle linéaire
[Termes IGN] modèle non linéaire
[Termes IGN] régression
[Termes IGN] théorème de BayesRésumé : (éditeur) Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place. The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines. While the philosophy behind each approach is discussed, the book is not ideological in nature and an emphasis is placed on practical application. It is shown that, in many situations, careful application of the respective approaches can lead to broadly similar conclusions. To use this text, the reader requires a basic understanding of calculus and linear algebra, and introductory courses in probability and statistical theory. The book is based on the author's experience teaching a graduate sequence in regression methods. The book website contains all of the code to reproduce all of the analyses and figures contained in the book. Note de contenu : 1- Inferential Approches
2- Independant data
3- Dependent data
4- Nonparametric modelingNuméro de notice : 25769 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie En ligne : https://doi.org/10.1007/978-1-4419-0925-1 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94957 A two-step displacement correction algorithm for registration of lidar point clouds and aerial images without orientation parameters / H. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 10 (October 2010)
[article]
Titre : A two-step displacement correction algorithm for registration of lidar point clouds and aerial images without orientation parameters Type de document : Article/Communication Auteurs : H. Wu, Auteur ; Y. Li, Auteur ; J. Li, Auteur ; J. Gong, Auteur Année de publication : 2010 Article en page(s) : pp 1135 - 1145 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données lidar
[Termes IGN] élément d'orientation externe
[Termes IGN] fusion de données
[Termes IGN] image aérienne
[Termes IGN] modèle linéaire
[Termes IGN] semis de points
[Termes IGN] superposition d'images
[Termes IGN] superposition de données
[Termes IGN] zone urbaineRésumé : (Auteur) This paper presents a novel linear registration algorithm for lidar point clouds and aerial images without orientation parameters. First, preprocessing is conducted to classify the lidar point clouds into ground points, building points, and aboveground, non-building points. After preprocessing, the algorithm consists of two sequential steps, i.e., Tilt Displacement Correction and Height Displacement Correction. As the kernel of the proposed registration algorithm, the mathematical model for Height Displacement Correction is a set of linear formulas analytically deduced from the rigorous geometric function of a single image. The proposed registration algorithm does not require any orientation parameters for the image, which greatly lowers the requirements for image acquisition. Due to the model's linearity, the proposed algorithm is computationally efficient. Our experimental results demonstrate that the proposed algorithm can register aerial images without orientation parameters at the same accuracy level of space resection based on collinear equations. This result fulfills the requirement for the fusion of lidar range data and aerial images in most large-scale urban modeling applications. Numéro de notice : A2010-431 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.10.1135 En ligne : https://doi.org/10.14358/PERS.76.10.1135 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30624
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 10 (October 2010) . - pp 1135 - 1145[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-2010101 RAB Revue Centre de documentation En réserve L003 Disponible 105-2010102 RAB Revue Centre de documentation En réserve L003 Disponible Approximating covariance matrices estimated in multivariate models by estimated auto- and cross-covariances / Karl Rudolf Koch in Journal of geodesy, vol 84 n° 6 (June 2010)
[article]
Titre : Approximating covariance matrices estimated in multivariate models by estimated auto- and cross-covariances Type de document : Article/Communication Auteurs : Karl Rudolf Koch, Auteur ; H. Kukhlmann, Auteur ; W. Schuh, Auteur Année de publication : 2010 Article en page(s) : pp 383 - 397 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] covariance
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] matrice de covariance
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle linéaireRésumé : (Auteur) Quantities like tropospheric zenith delays or station coordinates are repeatedly measured at permanent VLBI or GPS stations so that time series for the quantities at each station are obtained. The covariances of these quantities can be estimated in a multivariate linear model. The covariances are needed for computing uncertainties of results derived from these quantities. The covariance matrix for many permanent stations becomes large, the need for simplifying it may therefore arise under the condition that the uncertainties of derived results still agree. This is accomplished by assuming that the different time series of a quantity like the station height for each permanent station can be combined to obtain one time series. The covariance matrix then follows from the estimates of the auto- and cross-covariance functions of the combined time series. A further approximation is found, if compactly supported covariance functions are fitted to an estimated autocovariance function in order to obtain a covariance matrix which is representative of different kinds of measurements. The simplification of a covariance matrix estimated in a multivariate model is investigated here for the coordinates of points of a grid measured repeatedly by a laserscanner. The approximations are checked by determining the uncertainty of the sum of distances to the points of the grid. To obtain a realistic value for this uncertainty, the covariances of the measured coordinates have to be considered. Three different setups of measurements are analyzed and a covariance matrix is found which is representative for all three setups. Covariance matrices for the measurements of laserscanners can therefore be determined in advance without estimating them for each application. Numéro de notice : A2010-282 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-010-0375-5 Date de publication en ligne : 19/03/2010 En ligne : https://doi.org/10.1007/s00190-010-0375-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30476
in Journal of geodesy > vol 84 n° 6 (June 2010) . - pp 383 - 397[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-2010061 SL Revue Centre de documentation Revues en salle Disponible Impact of loading effects on determination of the International Terrestrial Reference Frame / Xavier Collilieux in Advances in space research, vol 45 n° 1 ([04/01/2010])PermalinkRadiometric calibration and characterization of large-format digital photogrammetric sensors in a test field / Lauri Markelin in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkOn the multivariate total least-squares approach to empirical coordinate transformations: three algorithms / Burkhard Schaffrin in Journal of geodesy, vol 82 n° 6 (June 2008)PermalinkLeast-squares prediction in linear models with integer unknowns / Peter J.G. Teunissen in Journal of geodesy, vol 81 n° 9 (September 2007)PermalinkCartographie de la fraction argileuse du sol dans le rif marocain à l'aide du capteur ASTER et de l'analyse géostatique / M. Chikhaoui in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkTowards temporal dynamic segmentation / B. Guo in Geoinformatica, vol 8 n° 3 (septembre - novembre 2004)PermalinkLinear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images / O. Mora in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)PermalinkIncidence angle dependence of the statistical properties of C-band HH-polarization backscattering signatures of the Baltic sea ice / Marko P. Mäkynen in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)PermalinkEstimation par moindres carrés / Patrick Sillard (2001)PermalinkKlassifikation und Interpolation mittels affin invarianter Voronoidiagramme auf der Basis eines Wahrscheinlich- keitsmaßes in großmaßstäbigen Geoinformationssystemen / R. Roschlaub (1999)PermalinkAusgleichung mit singulärer Varianzkovarianzmatrix am Beispiel der geometrischen Deformationsanalyse / G. Nkuite (1998)PermalinkEstimation des irrégularités des barrettes CCD de Spot / P. Hauboin (1998)PermalinkFundamentals of Statistical Signal Processing, Volume 2. Detection Theory / Steven M. Kay (1998)PermalinkIntroduction à l'estimation linéaire / Patrick Sillard (1997)PermalinkContribution à l'amélioration statistique des combinaisons de jeux de coordonnées / L. Roche (1996)PermalinkPermalinkBayesian inference with geodetic applications / Karl Rudolf Koch (1990)PermalinkProbability and statistics in geodesy and geophysics / L. Kubackova (1987)Permalink