Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh
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DOI: 10.1111/rssa.12545
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- Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
- C. B. Dean & M. D. Ugarte & A. F. Militino, 2001. "Detecting Interaction Between Random Region and Fixed Age Effects in Disease Mapping," Biometrics, The International Biometric Society, vol. 57(1), pages 197-202, March.
- Scott South & Katherine Trent & Sunita Bose, 2014. "Skewed Sex Ratios and Criminal Victimization in India," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 1019-1040, June.
- Francis Bloch & Vijayendra Rao, 2002.
"Terror as a Bargaining Instrument: A Case Study of Dowry Violence in Rural India,"
American Economic Review, American Economic Association, vol. 92(4), pages 1029-1043, September.
- Bloch, Francis & Rao, Vijayendra, 1999. "Terror as a Bargaining Instrument : A Case-Study of Dowry Violence in Rural India," LIDAM Discussion Papers IRES 1999020, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Bloch, Francis & Rao, Vijayendra, 2000. "Terror as a bargaining instrument : a case study of dowry violence in rural India," Policy Research Working Paper Series 2347, The World Bank.
- David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
- Brian J. Reich & James S. Hodges & Vesna Zadnik, 2006. "Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease-Mapping Models," Biometrics, The International Biometric Society, vol. 62(4), pages 1197-1206, December.
- Hodges, James S. & Reich, Brian J., 2010. "Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love," The American Statistician, American Statistical Association, vol. 64(4), pages 325-334.
- Jean Drèze & Reetika Khera, 2000. "Crime, Gender, and Society in India: Insights from Homicide Data," Population and Development Review, The Population Council, Inc., vol. 26(2), pages 335-352, June.
- Geetika Dang & Vani S. Kulkarni & Raghav Gaiha, 2018. "Why Dowry Deaths Have Risen in India?," ASARC Working Papers 2018-03, The Australian National University, Australia South Asia Research Centre.
- Claudia Czado & Tilmann Gneiting & Leonhard Held, 2009. "Predictive Model Assessment for Count Data," Biometrics, The International Biometric Society, vol. 65(4), pages 1254-1261, December.
- Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
- Gneiting, Tilmann & Raftery, Adrian E., 2007. "Strictly Proper Scoring Rules, Prediction, and Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 359-378, March.
- Ugarte, M.D. & Goicoa, T. & Militino, A.F., 2009. "Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2938-2949, June.
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