{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T08:42:11Z","timestamp":1725698531505},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642326387"},{"type":"electronic","value":"9783642326394"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-32639-4_35","type":"book-chapter","created":{"date-parts":[[2012,8,1]],"date-time":"2012-08-01T11:07:54Z","timestamp":1343819274000},"page":"286-293","source":"Crossref","is-referenced-by-count":0,"title":["Visualization of Predictive Distributions for Discrete Spatial-Temporal Log Cox Processes Approximated with MCMC"],"prefix":"10.1007","author":[{"given":"David","family":"Rohde","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Corcoran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gentry","family":"White","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruth","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"35_CR1","doi-asserted-by":"crossref","unstructured":"Adams, R.P., Murray, I., MacKay, D.J.C.: Tractable nonparametric Bayesian inference in poisson processes with gaussian process intensities. In: Proceedings of the 26th International Conference on Machine Learning (ICML 2009), Montreal, Quebec (2009)","DOI":"10.1145\/1553374.1553376"},{"key":"35_CR2","unstructured":"Eatonand, J.W., Bateman, D., Hauberg, S.: GNU Octave Manual Version 3. Network Theory Limited (2008)"},{"issue":"1","key":"35_CR3","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.compenvurbsys.2005.07.009","volume":"31","author":"C. Brunsdon","year":"2007","unstructured":"Brunsdon, C., Corcoran, J., Higgs, G.: Visualising space and time in crime patterns: A comparison of methods. Computers, Environment and Urban Systems\u00a031(1), 52\u201375 (2007)","journal-title":"Computers, Environment and Urban Systems"},{"key":"35_CR4","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316993","volume-title":"Geostatistics","author":"J. Chiles","year":"1999","unstructured":"Chiles, J., Delfiner, P.: Geostatistics. Wiley, New York (1999)"},{"issue":"2","key":"35_CR5","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1111\/j.2517-6161.1955.tb00188.x","volume":"17","author":"D.R. Cox","year":"1955","unstructured":"Cox, D.R.: Some Statistical Methods Connected with Series of Events. Journal of the Royal Statistical Society. Series B\u00a017(2), 129\u2013164 (1955)","journal-title":"Journal of the Royal Statistical Society. Series B"},{"key":"35_CR6","unstructured":"Cressie, N.A.C.: Statistics for spatial data. Wiley series in probability and mathematical statistics: Applied probability and statistics. J. Wiley (1991)"},{"key":"35_CR7","doi-asserted-by":"publisher","first-page":"138","DOI":"10.2307\/2347366","volume":"34","author":"P.J. Diggle","year":"1985","unstructured":"Diggle, P.J.: A kernel method for smoothing point process data. Applied Statistics\u00a034, 138\u2013147 (1985)","journal-title":"Applied Statistics"},{"key":"35_CR8","doi-asserted-by":"publisher","first-page":"3151","DOI":"10.1016\/j.jspi.2006.05.022","volume":"137","author":"A. Kottas","year":"2009","unstructured":"Kottas, A., Sans\u00f3, B.: Bayesian mixture modeling for spatial poisson process intensities, with applications to extreme value analysis. Journal of Statistical Planning and Inference\u00a0137, 3151\u20133163 (2009)","journal-title":"Journal of Statistical Planning and Inference"},{"key":"35_CR9","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1111\/1467-9469.00115","volume":"25","author":"J. M\u00f8ller","year":"1998","unstructured":"M\u00f8ller, J., Syversveen, A.R., Waagepetersen, R.P.: Log Gaussian Cox processes. Scandinavian Journal of Statistics\u00a025, 451\u2013482 (1998)","journal-title":"Scandinavian Journal of Statistics"},{"key":"35_CR10","doi-asserted-by":"crossref","unstructured":"Moller, J., Vej, F.B.: Structured spatio-temporal shot-noise cox point process models, with a view to modelling forest fires. Scandinavian Journal of Statistics\u00a037(1) (2010)","DOI":"10.1111\/j.1467-9469.2009.00670.x"},{"issue":"2","key":"35_CR11","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1093\/biomet\/93.2.451","volume":"93","author":"J. Moller","year":"2006","unstructured":"Moller, J., Pettitt, A.N., Reeves, R.W., Berthelsen, K.K.: An efficient markov chain monte carlo method for distributions with intractable normalising constants. Biometrika\u00a093(2), 451\u2013458 (2006)","journal-title":"Biometrika"},{"key":"35_CR12","first-page":"392","volume-title":"Proceedings of the 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004)","author":"I. Murray","year":"2004","unstructured":"Murray, I., Ghahramani, Z.: Bayesian learning in undirected graphical models: Approximate MCMC algorithms. In: Proceedings of the 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004), pp. 392\u2013399. AUAI Press, Arlington (2004)"},{"key":"35_CR13","unstructured":"Murray, I., Ghahramani, Z., MacKay, D.J.C.: MCMC for doubly-intractable distributions. In: Proceedings of the 22nd Annual Conference on Uncertainty in Artificial Intelligence (UAI 2006), pp. 359\u2013366. AUAI Press (2006)"},{"issue":"2","key":"35_CR14","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MCSE.2011.35","volume":"13","author":"P. Ramachandran","year":"2011","unstructured":"Ramachandran, P., Varoquaux, G.: Mayavi: 3D Visualization of Scientific Data. Computing in Science & Engineering\u00a013(2), 40\u201351 (2011)","journal-title":"Computing in Science & Engineering"},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Rasmussen, C.E., Williams, C.K.I.: Gaussian processes for machine learning. Adaptive Computation and Machine Learning. MIT Press (2006)","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"35_CR16","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1016\/j.spl.2003.10.014","volume":"66","author":"R. Waagepetersen","year":"2003","unstructured":"Waagepetersen, R.: Convergence of posteriors for discretized log gaussian cox processes. Statistics & Probability Letters\u00a066, 229\u2013235 (2003)","journal-title":"Statistics & Probability Letters"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning - IDEAL 2012"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-32639-4_35.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,28]],"date-time":"2024-04-28T00:51:31Z","timestamp":1714265491000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-32639-4_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642326387","9783642326394"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-32639-4_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}