Authors & Titles
List of titles received to October 21, 2015 listed alphabetically.
1. Penalty and shrinkage estimation in regression models with random coefficient autoregressive errors: S. Ejaz AHMED. Brock University, Canada
2. Tap-to-household water quality deterioration: analysis of spatial and temporal uncertainties: Tania M. ALARCON, Alexandra V. KULINKINA, Venkata Raghava MOHAN, Mark R. FRANCIS, Deepthi KATTULA, Rajiv SARKAR , Honorine WARD, Gagandeep KANG, Vinohar BALRAJ and Elena N. NAUMOVA. Tufts University, USA; Christian Medical College, India and Tufts Medical Center, USA
3. Spatial-Temporal Interpolation of Non-Methane Hydrocarbons Levels in Kuwait: Shafiqah Al-Awadhi, Fahima Al-Awadh. Kuwait University, Kuwait
4. Understanding different dimensions of ecological networks: Ayesha Ali. University of Guelph, Canada
5. Impacts of pipeline uncertainty on the market value of Canadian energy firms: Elmira ALIAKBARI, Ross MCKITRICK. University of Guelph, Canada
6. Penalty and Related Estimation Strategies in Simultaneous Autoregressive Model: Marwan Al-Momani, A. Hussein, S.E Ahmed. King Fahd University of Petroleum and Minerals, Saudi Arabia; University ofWindsor, Canada; Brock University, Canada
7. Simultaneous inference for low dose risk estimation with log-probit quantal response model in benchmark analysis: Tariq Alshammari and Jianan Peng.Department of Mathematics and Statistics, Acadia University, Canada.
8. A Comprehensive Framework for Environmental Health Risk Assessment: Mustafa AL-ZOUGHOOL. King Saud Bin Abdulaziz University for Health Sciences, Saudi Arabia
9. Of the stationarity and non stationarity in frequency analysis Application to the supended sediment concentrations in Abiod river, Biskra (Algeria): Abdelkader. Benkhaled Helene Higgins, Fateh Chebana and Abdelhakim Necir. Research Laboratory in Subterranean and Surface Hydraulics; LARHYSS, University of Biskra, Algeria; INRS-ETE,Canada and University of Biskra, Algeria
10. Goodness-of- fit procedures for multiparameter copula based on multivariate Lmoments:Imene Ben Nasr, Fateh. Chebana, Institut National de la Recherche Scienti_que, Centre Eau Terre et Environnement, Canada.
11. Adding the Spatial Dimension to Statistical and Machine-Learning Modelling: Alexander BRENNING; Department of Geography, Friedrich Schiller University, Jena, Germany
12. Brent Oil Prices and the Theory of Solar Spots: Javier SANTACRUZ CANO Research Department, Stock Exchange; Spain
13. Parameter estimation based on environmental data with below detection limits: Considering skewness and model misspecification: Shojaeddin Chenouri, Department of Statistics and Actuarial Science, University of Waterloo, Canada Coauthors: Niloofar Shoari and Jean-Sebastien Dube from Ecole de Technologie Superiere, Montreal.
14. How Geography helps in finite population inference: Daniela Cocchi.Department of Statistical Sciences, University of Bologna, Italy
15. Environmental monitoring through functional biodiversity tools: Tonio Di Battista; Universita Degli Studi G. Dannunzio Chieti Pescara, Italy
16. River Blindness, Eyeworm and a Geostatistical Calibration Problem: Peter J Diggle CHICAS, Lancaster University, UK
17. Statistical study of the production and the consumption of gas: Djeddour-Djaballah, Khedidja Laboratory MSTD Faculty of Mathematics Univ. of Sci. and Tech. of Algiers, Algeria
18. Extreme Value Modelling with Application to Environmental Control: Laique Merlin Djeutchouang and Abdelhameed El-Shaarawi: African Institute for Mathematical Sciences, Tanzania and Cairo University in Cairo, Egypt
19. Water Map of Ajman Emirate: A Tool for Sustainable Water Resources Management in United Arab Emirates: Farouk EL-BAZ, Magaly KOCH, Zeinelabidin RIZK, Khalid ALHOSSANIl.Ajman University of Science, UAE; Ajman Municipality and Planning Department, UAE and Boston University, USA
20. The social behavior and spreading of infectious diseases in developing countries such Brucellosis: Ibrahim H.A. ABD EL-RAHIM. Umm Al-Qura University, Saudi Arabia and Assiut University, Egypt
21. Data Transformation and Communication for Decision Making: Abdel H. El-Shaarawi, Jose M Anglo and , Alessandro Fasso. Cairo University and National Water Research Institute, Canada University of Granada, Spain and University of Bergamo, Italy
22. Statistical issues in earthquakes early warning using volunteer sensor networks Alessandro Fasso and Francesco Finazzi. University of Bergamo, Italy
23. Analysis of coherency in sea surface water temperature using model-based clusteringFrancesco Finazzi and Marian Scott. University of Bergamo, Italy and University of Glasgow, UK
24. General Asymptotics for the Change-Point Time: Stergios B. FOTOPOULOS, Venkata K. JANDHYALA, Robert B. LUND, Washington State University, USA
25. Biosurveillance of Climate Sensitive Mosquito-Borne Diseases Using Online Social Media: Yulia R. GEL, L. Leticia RAMIREZ RAMIREZ, Vyacheslav LYUBCHICH. University of Texas at Dallas, United States of America, Mathematics Research Center (CIMAT), Mexico, University of Maryland Center for Environmental Science, United States of America
26. Relationships between the conditioning film and the surface characteristics of materials in contact with drinking water A way to assess new innovative non-adhesive materials:
Florence GOSSELIN, Laurence MATHIEU, Grgory FRANCIUS, Yannick GOURBEYRE, Emmanuelle GAUDICHET-MAURIN, Jean-Claude BLOCK, Armand MAUL. CNRS, EPHE, UL, Laboratory LCPME, Villers-les-Nancy, Maisons-Laffitte CNRS, UL, Laboratory LIEC, Metz, France
27. Multivariate time series trend estimation based on controlled smoothing: Victor GUERRERO, Alejandro ISLAS CAMARGO, Lilia Leticia RAMIREZRAMIREZ.Instituto Tecnologico Autonomo de Mexico (ITAM), Mexico 2 Centro de Investigacionen Matematicas (CIMAT), Mexico.
28. Joe Guinness, Statistics, North Carolina State University, USA
29. Modelling crab burrow counts: Zuzana Hübnerová. Czech Republic
30. Change point analysis of small Czech rivers seasonal behaviour: Daniela JARUŠKOVÁ, Czech Technical University, Czech Republic
31. Statistical Study of Alaskan temperature changes over time: A Revisit: Elena A. KHAPALOVA, Venkata K. JANDHYALA and Stergios B. FOTOPOULOS. Washington State University, USA
32. The Use of Remote Sensing Monitoring to Understand Optimal Conditions for Mosquito Abundance in Pantanal, Brazil: Magaly KOCH, Irene BOSCH, Jeronimo ALENCAR, Vanessa MELANDRI, Anthony GUIMARAES, Lee GHERKE, Elena N. NAUMOVA. Center for Remote Sensing, Boston University, USA Massachusetts Institute of Technology, USA, Instituto, Oswaldo Cruz, Rio de Janeiro, Brazil4 Friedman School of Nutrition Science and Policy, Tufts University, USA
33. Statistics of mixed Erlang distributions and applications: David Landriault, Khouzeima Moutanabbir, Gordon E. Willmot. University ofWaterloo, Canada and The American university in Cairo, Egypt
34. The Frequency, Intensity and Arrival Time of Seasonal Heat Waves and their Adverse Effects on Human Health in Eight Climatic Regions of the United States: Alexander LISS, Elena N NAUMOVA. Tufts University, USA
35. Scenario forecasting of insurance claims based on representative concentration pathways (RCPs): Vyacheslav LYUBCHICH, Yulia R. GEL.University of Maryland Center for Environmental Science, USA, 2 University of Texas at Dallas, USA.
36. Crop yield predictions for early warning decision support using remote sensing data in Sila, Chad: Anastasia MARSHAK and Alexander LISS, Tufts University, USA
37. The EMD-regression for an overall relationship between a response and exposures: Masselot, P., Chebana, F.1, Blanger, D., Abdous, B.3, St-Hilaire, A., Gosselin, P.;Institut National de la Recherche Scientique, Qubec (QC),Canada; Centre Hospitalier Universitaire de Qubec, Qubec (QC), Canada; Universit Laval, Qubec (QC), Canada; 4Institut national de sant publique du Qubec (INSPQ), Qubec, Canada.
38. An ANOVA-type procedure for replicated spatio-temporal point patterns with environmental applications: Jorge Mateu, Jonatan Gonzalez-Monsalve, Ute Hahn University Jaume I of Castellon, Spain and Aarhus University, Denmark.
39. Heterogeneity: a major factor influencing toxicity and risk assessment: Armand MAUL. University of Lorraine, LIEC-CNRS, 57070 Metz, France
40. Left-censored samples from skewed distribution statistical inference and applications: Jaroslav MICHALEK, Michal FUSEK. University of Defence, Czech Republic, Brno University of Technology, Czech Republic
41. Spatial Linear and Non-Linear Hedonic Models with and without Spatial Drift to Assessing the Impact of Environment on Housing Prices: An Application in the City of Madrid: Jose-Maria Montero, Gema Fernndez-Avils and Romn Mnguez, University of Castilla-La Mancha, Spain
42. Clustering for binomial trials: Elas Moreno. University of Granada, Spain.
43. Handling Missing Data in the Analysis of Environmental Data: Theonille MUKAMANA and Abdelhameed El-Shaarawi,African Institute for Mathematical Sciences, Tanzania and Cairo University in Cairo, Egypt
44. Precision Mapping: A novel tool for understanding spatial and temporal uncertainties in large-scale envirobmental health investigation: Elena Naumova. Tufts University, USA
45. Modelling Jointly Low, Moderate and Heavy Rainfall Intensities Without a Threshold Selection: Philippe NAVEAU, Raphael HUSER, Pierre RIBEREAU, Alexis HANNART.Laboratoire des Sciences du Climat et l'Environnement, France; King Abdullah University of Science and Technology, Saudi Arabia;Institut de Science Financiere et dAssurances, France Centre National de Recherche Scientifique, Argentina
46. James-Stein type-estimators in Multivariate Linear Models with Change-points: Severien Nkurunziza, Fuqi Chen, University of Windsorand Universit de Sherbrooke (on leave), Ontario/Quebec, Canada and The Fields Institute for Research in Mathematical Sciences,Ontario, Canada
47. Penalising model component complexity: A principled practical approach to constructing priors: Hvard Rue, Department of Mathematical Sciences NTNU, Norway
48. Environmetrics in the ”big data” era: Louise Ryan, Distinguished Professor of Statistics, University of Technology Sydney (UTS) Deputy Director of the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Australia.
49. Hierarchical quasi-likelihood approach to frailty models with non-parametric risk effects: Radhey S Singh.Department of Statistics and Actuarial Science University of Waterloo, CANADA
50. Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation:Ying SUN, Huixia J. WANG and Montserrat FUENTES. King Abdullah University of Science and Technology, Saudi Arabia; George Washington University, USA and North Carolina State University, USA
51. On Multivariate Model Selection Involving Time Series of Environmental Kuznets curve: Huong NGUYEN THU, Lule University of Technology, Sweden, Foreign Trade University, Vietnam
52. Additive survival models and shrinkage estimation: Katrina Tomanelli, Abdulkadir Hussein, Severien Nkurunziza. University of Windsor, Canada and Clair College, Windsor, Canada.
53. Generalized latent VARMAX models and dynamic structural equations,with application in air pollution and health statistics: Pasquale Valentin. Italy
54. Characterizing Spatiotemporal Distribution of Cholera Using Hospitalization Records: Patient Profiles from Vellore, India: Aishwarya VENKAT, Melissa CRUZ, Meghan HARTWICK, Tania Alarcon FALCONI, Hanna,EHRLICH, Shalini ANANDAN, Naveen KUMAR, Veeraraghavan BALAJI, Elena N. NAUMOVA. Tufts University, USA, University of New Hampshire, Durham, USA and Christian Medical College, Vellore, India
55. Holly WANG, Agricultural Economics Department, Purdue University
56. Automated Method for Climate Regionalization based on Satellite Remote Sensing Data: An Application to the Spatial Modelling of Urogenital Schistosomiasis in Ghana: Madeline WRABLE, Alexander LISS, Alexandra KULINKINA, Magaly KOCH, Nana-Kwadwo BIRITWUM, Elena N. NAUMOVA, David M. GUTE, Karen C. KOSINSKI. Tufts University, USA, Neglected Tropical Disease Control Division, Ghana.
57. Tukey g-and-h Random Fields: Ganggang XU, Marc G. GENTON. Binghamton University, USA, King Abdullah University of Science and Technology, Saudi Arabia.
58.Hao ZHANG, Statistics, Purdue University
