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Significance, ISSN 1740-9705, 02/2018, Volume 15, Issue 1, pp. 41 - 41
Emanuele Giorgi on teaching in Africa. 
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 06/2017, Volume 78, Issue 8, pp. 1 - 29
In this paper we introduce a new R package, PrevMap, for the analysis of spatially referenced prevalence data, including both classical maximum likelihood and... 
Prevalence data | Low-rank approximations | Monte Carlo maximum likelihood | Bayesian analysis | Geostatistics | geostatistics | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MIXED MODELS | low-rank approximations | APPROXIMATION | MODEL-BASED GEOSTATISTICS | STATISTICS & PROBABILITY | CARLO MAXIMUM-LIKELIHOOD | prevalence data
Journal Article
Statistics in medicine, ISSN 0277-6715, 08/2019
In this paper, we develop a computationally efficient discrete approximation to log-Gaussian Cox process (LGCP) models for the analysis of spatially aggregated... 
Statistics - Methodology
Journal Article
Spatial Statistics, ISSN 2211-6753, 12/2018, Volume 28, pp. 79 - 83
We propose a generalization of Zhang’s coefficient of determination to generalized linear geostatistical models and illustrate its application to... 
Goodness-of-fit | Coefficient of determination | Generalized linear geostatistical models | GEOSCIENCES, MULTIDISCIPLINARY | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | REMOTE SENSING | COEFFICIENT | STATISTICS & PROBABILITY
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, p. 1119
  Diggle and Giorgi talk about the accuracy of its Monte Carlo maximum likelihood estimates in conjunction with plug-in prediction by comparison with analogous... 
Parameter estimation | Predictions | Software | Estimating techniques | Laplace transforms | Maximum likelihood method | Monte Carlo simulation
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, p. 1096
  In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within... 
Geostatistics | Binomial distribution | Mapping | Statistical methods | Software | Stochastic models | Generalized linear models
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, p. 1096
  In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within... 
Geostatistics
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, pp. 1119 - 1119
Diggle and Giorgi talk about the accuracy of its Monte Carlo maximum likelihood estimates in conjunction with plug-in prediction by comparison with analogous... 
Parameter estimation | Predictions | Estimating techniques | Laplace transforms
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, pp. 1096 - 1096
In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within... 
Geostatistics | Binomial distribution | Generalized linear models
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, pp. 1096 - 1120
In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within... 
Geostatistics
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, p. 1119
  Journal of the American Statistical Association Rejoinder 
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2016, Volume 111, Issue 515, pp. 1119 - 1120
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2016, Volume 111, Issue 515, pp. 1119 - 1120
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2016, Volume 111, Issue 515, pp. 1119 - 1120
Journal Article
Lancet Infectious Diseases, The, ISSN 1473-3099, 2015, Volume 15, Issue 1, pp. 9 - 11
  From surveys identified by systematic review, they extracted data at the household level on sources of drinking water, sanitation, and women's level of... 
Infectious Disease | INFECTIOUS DISEASES | Neglected Diseases - epidemiology | Helminthiasis - epidemiology | Animals | Intestinal Diseases, Parasitic - epidemiology | Humans | Geology | Health aspects | Statistical methods | Medical research | Infections | Disease | Socioeconomic factors
Journal Article
Biometrics, ISSN 0006-341X, 08/2019
Multiple diagnostic tests are often used due to limited resources or because they provide complementary information on the epidemiology of a disease under... 
Journal Article
Journal Article
02/2019
JHEP 05 (2019) 088 This paper presents the combinations of single-top-quark production cross-section measurements by the ATLAS and CMS Collaborations, using... 
Physics - High Energy Physics - Experiment
Journal Article
Religion, State & Society, ISSN 0963-7494, 04/2015, Volume 43, Issue 2, pp. 133 - 149
In this article we focus on how changes in political structure influence religion. Communion and Liberation (CL) is widely known in Italy as a very important... 
secularism | politics | social movements | religion | governance
Journal Article
by Aaboud, M and Aad, G and Abbott, B and Abdinov, O and Abeloos, B and Abidi, S. H and AbouZeid, O. S and Abraham, N. L and Abramowicz, H and Abreu, H and Abulaiti, Y and Acharya, B. S and Adachi, S and Adamczyk, L and Adelman, J and Adersberger, M and Adye, T and Affolder, A. A and Afik, Y and Agheorghiesei, C and Aguilar-Saavedra, J. A and Ahlen, S. P and Ahmadov, F and Aielli, G and Akatsuka, S and Åkesson, T. P. A and Akilli, E and Akimov, A. V and Alberghi, G. L and Albert, J and Albicocco, P and Alconada Verzini, M. J and Alderweireldt, S. C and Aleksa, M and Aleksandrov, I. N and Alexa, C and Alexander, G and Alexopoulos, T and Alhroob, M and Ali, B and Aliev, M and Alimonti, G and Alison, J and Alkire, S. P and Allbrooke, B. M. M and Allen, B. W and Allport, P. P and Aloisio, A and Alonso, A and Alonso, F and Alpigiani, C and Alshehri, A. A and Alstaty, M. I and Alvarez Gonzalez, B and Álvarez Piqueras, D and Alviggi, M. G and Amadio, B. T and Amaral Coutinho, Y and Amelung, C and Amidei, D and Amor Dos Santos, S. P and Amoroso, S and Anastopoulos, C and Ancu, L. S and Andari, N and Andeen, T and Anders, C. F and Anders, J. K and Anderson, K. J and Andreazza, A and Andrei, V and Angelidakis, S and Angelozzi, I and Angerami, A and Anisenkov, A. V and Annovi, A and Antel, C and Antonelli, M and Antonov, A and Antrim, D. J and Anulli, F and Aoki, M and Aperio Bella, L and Arabidze, G and Arai, Y and Araque, J. P and Araujo Ferraz, V and Arce, A. T. H and Ardell, R. E and Arduh, F. A and Arguin, J-F and Argyropoulos, S and Armbruster, A. J and Armitage, L. J and Arnaez, O and Arnold, H and Arratia, M and Arslan, O and Artamonov, A and Artoni, G and ... and SLAC National Accelerator Lab., Menlo Park, CA (United States) and Brookhaven National Lab. (BNL), Upton, NY (United States) and Argonne National Lab. (ANL), Argonne, IL (United States) and Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States) and Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States) and Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Journal of High Energy Physics (Online), ISSN 1029-8479, 04/2018, Volume 2018, Issue 4
This paper presents combinations of inclusive and differential measurements of the charge asymmetry (A$_{C}$) in top quark pair $... 
Hadron-Hadron scattering (experiments) | Top physics | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Journal Article
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