Programme At A Glance

Monday

Time	Monday 11th
845	Housekeeping, 098 Lecture Theatre (260-098)
850	Opening Ceremony
910	R In Times Of Growing User Base And Data Sizes Simon Urbanek, AT&T Labs, USA 098 Lecture Theatre (260-098)
1000	Morning Tea (30 minutes)
	098 Lecture Theatre(260-098)	OGGB4(260-073)	OGGB5(260-051)	Case Room 2(260-057)	Case Room 3(260-055)	Case Room 4(260-009)
1030	Robust Principal Expectile Component Analysis Liang-Ching Lin	Effect Of Area Level Deprivation On Body Mass Index: Analysis Of NZ Health Surveys Andrew Adiguna Halim	Calendar-Based Graphics For Visualising People’s Daily Schedules Earo Wang	Nonparametric Test For Volatility In Clustered Multiple Time Series Paolo Victor Redondo	IGESS: A Statistical Approach To Integrating Individual Level Genotype Data And Summary Statistics In Genome Wide Association Studies Xiang Wan	Author Name Identification For Evaluating Research Performance Of Institutes Tomokazu Fujino
1050	A Computational Tool For Detecting Copy Number Variations From Whole Genome And Targeted Exome Sequencing Yu-Chung Wei	Clustering Using Nonparametric Mixtures And Mode Identification Shengwei Hu	Bayesian Curve Fitting For Discontinuous Function Using Overcomplete Representation With Multiple Kernels Youngseon Lee	Estimation Of A Semiparametric Spatiotemporal Models With Mixed Frequency Erniel Barrios	LSMM: A Statistical Approach To Integrating Functional Annotations With Genome-Wide Association Studies Jingsi Ming	A Study Of The Influence Of Articles In The Large-Scale Citation Network Frederick Kin Hing Phoa
1110	Estimating Links Of A Network From Time To Event Data Tso‐Jung Yen	Estimation Of A High-Dimensional Covariance Matrix Xiangjie Xue	Innovative Bayesian Estimation In The von Mises Distribution Yuta Kamiya	Evidence Of Climate Change From Nonparametric Change-Point Analysis Angela Nalica	Joint Analysis Of Individual Level Genotype Data And Summary Statistics By Leveraging Pleiotropy Can Yang	An Advanced Approach For Time Series Forecasting Using Deep Learning Balaram Panda
1130		Genetic Map Estimation Using Hidden Markov Models In The Presence Of Partially Observed Information Timothy Bilton	A Simple Method For Grouping Patients Based On Historical Doses Shengli Tzeng	Semiparametric Mixed Analysis Of Covariance Model Joseph Ryan Lansangan	Adaptive False Discovery Rate Regression With Application In Integrative Analysis Of Large-Scale Genomic Data Can Yang	Structure Of Members In The Organization To Induce Innovation: Quantitatively Analyze The Capability Of The Organization Yuji Mizukami
1150		Vector Generalized Linear Time Series Models Victor Miranda	Local Canonical Correlation Analysis For Multimodal Labeled Data Seigo Mizutani	A Practitioners Guide To Deep Learning For Predictive Analytics On Structured Data Balaram Panda		Clustering Of Research Subject Based On Stochastic Block Model Keisuke Honda
1210	Group photo, followed by Lunch (1 hour 10 minutes)
1320	Zen And The aRt Of Workflow Maintenance Jenny Bryan, University of British Columbia 098 Lecture Theatre (260-098)
	098 Lecture Theatre(260-098)	OGGB4(260-073)	OGGB5(260-051)	Case Room 2(260-057)	Case Room 3(260-055)	Case Room 4(260-009)
1410	Canonical Covariance Analysis For Mixed Numerical And Categorical Three-Way Three-Mode Data Jun Tsuchida	Variable Selection Algorithms Fangyao Li	Estimating Causal Structures For Continuous And Discrete Variables Mako Yamayoshi	Incorporating Genetic Networks Into Case-Control Association Studies With High-Dimensional DNA Methylation Data Hokeun Sun	Adaptive Model Checking For Functional Single-Index Models Zhenghui Feng	Mobile Learning In Teaching Bioinformatics For Medical Doctors Taerim Lee and Jung Jin Lee
1430	On Optimal Group Testing Designs: Prevalence Estimation, Cost Considerations, And Dilution Effects Shih-Hao Huang	The Use Of Bayesian Networks In Grape Yield Prediction Rory Ellis	Pattern Prediction For Time Series Data With Change Points Satoshi Goto	Test For Genomic Imprinting Effects On The X Chromosome Wing Kam Fung	Fluctuation Reduction Of Value-At-Risk Estimation And Its Applications Shih-Feng Huang	E-Learning Courses On Introductory Statistics Using Interactive Educational Tools Kazunori Yamaguchi
1450	Estimation Of Animal Density From Acoustic Detections Ben Stevenson	Mixed Models For Complex Survey Data Xudong Huang	Regression With Random Effects For Analysing Correlated Survival Data: Application To Disease Recurrences Richard Tawiah	Genetic Predictors Underlying Long-Term Cognitive Recovery Following Mild Traumatic Brain Injury Priya Parmar	Bayesian Structure Selection For Vector Autoregression Model Ray-Bing Chen	Three-Dimensional Data Visualization Education With Virtual Reality Dae-Heung Jang
1510	Talk Data To Me Lisa Hall	Smooth Nonparametric Regression Under Shape Restrictions Hongbin Guo	Elastic-Band Transform: A New Approach To Multiscale Visualization Guebin Choi	Meta-Analytic Principal Component Analysis In Integrative Omics Application Sunghwan Kim	Flight To Relative Safety: Learning From A No-Arbitrage Network Of Yield Curves Model Of The Euro Area Linlin Niu
1530	Afternoon tea (30 minutes)
	098 Lecture Theatre(260-098)	OGGB4(260-073)	OGGB5(260-051)	Case Room 2(260-057)	Case Room 3(260-055)	Case Room 4(260-009)
1600	Bayesian Analyses Of Non-Homogeneous Gaussian Hidden Markov Models Shin Sato	Robustness Of Temperature Reconstruction For Past 500 Years Yu Yang	Nonparametric Causal Inference By The Kernel Method Yuchi Matsuoka	A Unified Regularized Group PLS Algorithm Scalable To Big Data Pierre Lafaye de Micheaux	Evaluation Of Spatial Cluster Detection Method Based On All Geographical Linkage Patterns Fumio Ishioka	Scoring Rules For Prediction And Classification Challenges Matt Parry
1620	Meta-Analysis With Symbolic Data Analysis And Its Application For Clinical Data Ryo Takagi	Real-Time Transit Network Modelling For Improved Arrival Time Predictions Tom Elliott	Visualization And Statistical Modeling Of Financial Big Data Masayuki Jimichi	Sparse Group-Subgroup Partial Least Squares With Application To Genomic Data Matthew Sutton	Genetic Approach And Statistical Approach For Association Study On DNA Data Makoto Tomita	Modeling Of Document Abstraction Using Association Rule Based Characterization Ken Nittono
1640	Bayesian Static Parameter Inference For Partially Observed Stochastic Systems Yaxian Xu	Bayesian Survival Analysis Of Batsmen In Test Cricket Oliver Stevenson	Covariate Discretisation On Big Data Hon Hwang	BIG-SIR A Sliced Inverse Regression Approach For Massive Data Benoit Liquet	Symbolic Data Analytical Approach To Unauthorized-Access Logs Hiroyuki Minami	My Knee Still Hurts; The Statistical Pathway To The Development Of A Clinical Decision Aid Robert Borotkanics

Tuesday

Time	Tuesday 12th
900	Housekeeping, 098 Lecture Theatre (260-098)
910	Could Do Better … A Report Card For Statistical Computing Ross Ihaka, University of Auckland 098 Lecture Theatre (260-098)
1000	Morning Tea (30 minutes)
	098 Lecture Theatre(260-098)	OGGB4(260-073)	OGGB5(260-051)	Case Room 2(260-057)	Case Room 3(260-055)	Case Room 4(260-009)
1030	R&D Policy Regimes In France: New Evidence From A Spatio-Temporal Analysis Benjamin Montmartin	Analysing Scientific Collaborations Of New Zealand Institutions Using Scopus Bibliometric Data Samin Aref	Family Structure And Academic Achievements Of High School Students In Tonga Losana Vao Latu Latu	Analysis Of Multivariate Binary Longitudinal Data: Metabolic Syndrome During Menopausal Transition Geoff Jones	Clustering Of Curves On A Spatial Domain Using A Bayesian Partitioning Model Chae Young Lim	The Uncomfortable Entrepreneurs: Bad Working Conditions And Entrepreneurial Commitment Catherine Laffineur
1050	Spatial Surveillance With Scan Statistics By Controlling The False Discovery Rate Xun Xiao	Statistical Models For The Source Attribution Of Zoonotic Diseases: A Study Of Campylobacteriosis Sih-Jing Liao	Towards An Informal Test For Goodness-Of-Fit Anna Fergusson	Identifying Clusters Of Patients With Diabetes Using A Markov Birth-Death Process Mugdha Manda	Bayesian Temporal Density Estimation Using Autoregressive Species Sampling Models Seongil Jo	How Does The Textile Set Describe Geometric Structures Of Data? Ushio Tanaka
1110	Intensity Estimation Of Spatial Point Processes Based On Area-Aggregated Data Hsin-Cheng Huang	Bayesian Inference For Population Attributable Measures Sarah Pirikahu	An Information Criterion For Prediction With Auxiliary Variables Under Covariate Shift Takahiro Ido	Analysis Of A Brief Telephone Intervention For Problem Gambling And Examining The Impact On Co-Existing Depression? Nick Garrett	Prior-Based Bayesian Information Criterion Woncheol Jang	Early Childhood Dental Decay Sarah Sonal
1130	Geographically Weighted Principal Component Analysis For Spatio-Temporal Statistical Dataset Narumasa Tsutsumida	Dimensionality Reduction Of Multivariate Data For Bayesian Analysis Anjali Gupta	An EWMA Chart For Monitoring Covariance Matrix Based On Dissimilarity Index Longcheen Huwang	Adjusting For Linkage Bias In The Analysis Of Record-Linked Data Patrick Graham	Bayesian Semiparametric Hierarchical Models For Longitudinal Data Analysis With Application To Dose-Response Studies Taeryon Choi	Optimizing Junior Rugby Weight Limits Ankit Patel
1150	Spatial Scan Statistics For Matched Case-Control Data Inkyung Jung	Whitebait In All Its Varieties: One Fish, Two Fish, Three, Four, Five Fish. Bridget Armstrong	Latent Variable Models And Multivariate Binomial Data John Holmes	Asking About Sex In General Health Surveys: Comparing The Methods And Findings Of The 2010 Health Survey For England With Those Of The Third National Survey Of Sexual Attitudes And Lifestyles Philip Prah	Bayesian Continuous Space-Time Model Of Burglaries Paul Brown	Tolerance Limits For The Reliability Of Semiconductor Devices Using Longitudinal Data Thomas Nowak
1210	Lunch (1 hour 10 minutes)
1320	Session In Memory Of Alastair John Scott 1320hrs-1530hrs Speakers: Professor John Neuhaus (UCSF), Professor Chris Wild, Professor Alan Lee, Professor Thomas Lumley
1530	Afternoon tea (30 minutes)
	098 Lecture Theatre(260-098)	OGGB4(260-073)	OGGB5(260-051)	Case Room 2(260-057)	Case Room 3(260-055)	Case Room 4(260-009)
1600	Model-Checking For Regressions: A Local Smoothing-Based Global Smoothing Test Lingzhu Li	Breeding Value Estimation In Partially-Genotyped Populations Alastair Lamont	BIVAS: A Scalable Bayesian Method For Bi-Level Variable Selection Mingxuan Cai	Ranking Potential Shoplifters In Real Time Barry McDonald	Two Stage Approach To Data-Driven Subgroup Identification In Clinical Trials Toshio Shimokawa
1620	Inverse Regression For Multivariate Functional Data Ci-Ren Jiang	Including Covariate Estimation Error When Predicting Species Distributions: A Simulation Exercise Using Template Model Builder Andrea Havron	Adjusted Adaptive Index Model For Binary Response Ke Wan	Factors Influencing On Growth Of Garments Industry In Bangladesh Md. Shahidul Islam	Comparison Of Exact And Approximate Testing Procedures In Clinical Trials With Multiple Binary Endpoints Takuma Ishihara
1640	Multiple Function-On-Function Linear Regression With Application To Weather Forecast Calibration Lu-Hung Chen	Modelling The Distribution Of Lifetime Using Compound Time-Homogenous Poisson Process Kien Tran	Detecting Change-Points In The Stress-Strength Reliability P(X<Y) Hang Xu	New Zealand Crime And Victims Survey: Filling The Knowledge Gap Tianying Chu	Missing Data In Randomised Control Trials: Stepped Multiple Imputation Rose Sisk
1700		NZSA Annual General Meeting 1700 - 1815	IASC General Assembly 1700-1815
1830	Conference Dinner Owen G Glenn Building Foyer Level 1, 20 Grafton Road 1830-2230

Wednesday

Time	Wednesday 13th
900	Housekeeping
910	Professor Michael Ferris, University Of Wisconsin - Madison, USA ORSNZ Keynote 098 Lecture Theatre (260-098)
1000	Morning Tea (30 minutes)
	098 Lecture Theatre(260-098)	OGGB4(260-073)	OGGB5(260-051)	Case Room 2(260-057)	Case Room 3(260-055)	Case Room 4(260-009)
1030	Promoting Your R Package Hadley Wickham	A Smoothing Filter Modelling Approach For Time Series Marco Reale	Online Learning For Bayesian Nonparametrics: Weakly Conjugate Approximation Yongdai Kim	Improving The Production Cycle At Stats NZ With Rstudio Gareth Minshall	A Max-Type Multivariate Two-Sample Baumgartner Statistic Hidetoshi Murakami	Random Search Global Optimization Using Random Forests Blair Robertson
1050	gridSVG: Then And Now Paul Murrell	Probabilistic Outlier Detection And Visualization Of Smart Meter Data Rob Hyndman	The Joint Models For Nonlinear Longitudinal And Time-To-Event Data Using Penalized Splines: A Bayesian Approach Thi Thu Huong Pham	R – A Powerful Analysis Tool To Improve Official Statistics In Romania Nicoleta Caragea	Simultaneous Test For Mean Vectors And Covariance Matrices In High-Dimensional Settings Takahiro Nishiyama	Dimension Reduction For Classification Of High-Dimensional Data By Stepwise SVM Elizabeth Chou
1110	Bringing Multimix From Fortran To R Murray Jorgensen	Specification Of GARCH Model Under Asymmetric Error Innovations Oyebimpe Adeniji	Performance Of Bayesian Credible Interval For Binomial Proportion Using Logit Transformation Toru Ogura	Statistical Disclosure Control With R: Traditional Methods And Synthetic Data Matthias Templ	High Dimensional Asymptotics For The Naive Canonical Correlation Coefficient Mitsuru Tamatani	Deep Learning High-Dimensional Covariance Matrices Philip Yu
1130	R In Industry – Application On Pipe Renewal Planning Glenn Thomas	Empirical Comparison Of Some Algorithms For Automatic Univariate ARMA Modeling Using Rcmdrplugin.SPSS Dedi Rosadi	Bayesian Optimum Warranty Length Under Type-II Unified Hybrid Censoring Scheme Tanmay Sen	Imputation Of The 2016 Economic Census For Business Activity In Japan Kazumi Wada		Applying Active Learning Procedure To Drug Consumption Data Yuan-Chin Chang
1150	R For Everything Jared Lander	R Package For New Two-Stage Methods In Forecasting Time Series With Multiple Seasonality Shubhabrata Das		Analysis Of Official Microdata Using Secure Statistical Computation System Kiyomi Shirakawa		Presenting Flexi, A Statistical Program For Fitting Variance Models Martin Upsdell
1210	Lunch (1 hour 10 minutes)
1320	Space And Circular Time Log Gaussian Cox Processes With Application To Crime Event Data Alan Gelfand, Duke University 098 Lecture Theatre (260-098)
	098 Lecture Theatre(260-098)	Case Room 1(260-005)	OGGB5(260-051)	Case Room 2(260-057)	Case Room 3(260-055)	Case Room 4(260-009)
1410	Cluster-Wise Regression Models Combined By A Quasi-Linear Function Kenichi Hayashi	Hierarchical Structural Component Analysis Of Gene-Environment Interactions Taesung Park	Wavelet-Based Power Transformation Of Non-Gaussian Long Memory Time Series Kyungduk Ko	Cross Covariance Estimation For Integration Of Multi-Omics Data Hyungwon Choi	Relationships Between Linguistic Characteristics And The Use Of Māori Loanwords In New Zealand English. Steven Miller	Transfer Regression And Predictive Distributions Jinfang Wang
1430	An Overview Of The Correspondence Analysis Family Eric Beh	Testing For Genetic Associations In Arbitrarily Structured Populations Minsun Song	Threshold Determination For The Meteorological Data Quality Control In Korea Yung-Seop Lee	Regularized Noise-Reduction Methodology For High-Dimensional Data Kazuyoshi Yata	Computation Of Influence Functions For Robust Statistics Maheswaran Rohan	Adaptive Model Averaging In High-Dimensional Linear Regression Tzu-Chang Forrest Cheng
1450	Model-Based Clustering For Multivariate Categorical Data With Dimension Reduction Michio Yamamoto	Phylogenetic Tree-Based Microbiome Association Test Sungho Won	Fitting Additive Hazards Model Using Calibrated Weights For Case-Cohort Data Sangwook Kang	Selecting The Number Of Principal Components Yunjin Choi	Rolling Survival Extrapolation Algorithm For Estimating Life Years Lost Among Subjects Exposed To Long-Term Air Pollution Jing-Shiang Hwang	Enhancing The Flexibility Of Regression Modeling By Liquid Association Ker-Chau Li
1510	Clusterwise Low-Rank Correlation Analysis Based On Majorization Kensuke Tanioka		Bayesian Analysis For Fitting Zero-Inflated Count Data With Data Augmentation Beomseuk Hwang	Towards A Sparse, Scalable, And Stably Positive Definite (Inverse) Covariance Estimator Joong-Ho Won	Tick-By-Tick Effect On The Inference Of Ultra-High Frequency Data Zhi Liu	High Mortality Predictions With Lines Or Curves Fitted To Over-Dispersed Exposure-Mortality Data John Maindonald
1530	Afternoon tea (30 minutes)
	098 Lecture Theatre(260-098)	Case Room 4(260-009)	OGGB5(260-051)	Case Room 2(260-057)	Case Room 3(260-055)	Case Room 1(260-005)
1600	Lattice Polytope Samplers Martin Hazelton	Statistical Modelling And Analysis Of Cosmic Microwave Background Data Andriy Olenko	Measure Of Departure From Marginal Average Point-Symmetry For Two-Way Contingency Tables With Ordered Categories Kiyotaka Iki	Sparse Estimates From Dense Precision Matrix Posteriors Beatrix Jones	Dimension Reduction Strategies For Modeling Bi-Clustered High Dimensional Data Michael Van Supranes	Investigating Methods To Produce Price Indexes From Big Data Mathew Stansfield
1620	Computing Entropies With Nested Sampling Brendon Brewer	Spline-Based Drift Models For High Temperature Operating Life Tests Thomas Nowak	A New Approach To Distribution Free Tests In Contingency Tables Thuong Nguyen	A Bayesian Inference For Time Series Via Copula-Based Markov Chain Models Li-Hsien Sun	Modified Gene Shaving Algorithm - A Dimension Reduction And Clustering Method Donna Mae Santos	The Potential Of Web Scraping Sam Olivecrona
1640		A Simple Method To Construct Confidence Bands In Functional Linear Regression Masaaki Imaizumi	Separation Of Symmetry For Square Contingency Tables With Ordinal Categories Kouji Tahata	Scalable Kernel-Based Variable Selection With Sparsistency Junhui Wang	Testing For Presence Of Clustering Effect In Multilevel Model With High-Dimensional Predictors Frances Claire San Juan	Towards A Big Data CPI For New Zealand Alan Bentley

Thursday

Time	Thursday 14th
900	Housekeeping
910	ALTREP: Alternate Representations Of Basic R Objects Luke Tierney, University of Iowa, USA 098 Lecture Theatre (260-098)
1000	Poster Session and Morning Tea (30 minutes)
	098 Lecture Theatre(260-098)	OGGB4(260-073)	OGGB5(260-051)	Case Room 2(260-057)	Case Room 3(260-055)	Case Room 4(260-009)
1030	Penalized Vector Generalized Additive Models Thomas Yee	A Package For Multiple Precision Floating-Point Computation On R Junji Nakano	Dissimilarities Between Groups Of Data Nobuo Shimizu	Comparison Of Tests Of Mean Difference In Longitudinal Data Based On Block Resampling Methods Hirohito Sakurai	SSREM: A Summary-Statistics-Based Random Effect Model To Estimating Heritability, Co-Heritability And Effect Sizes In GWAS Data Analysis Jin Liu
1050	Consistency Of Linear Mixed-Effects Model Selection With Inconsistent Covariance Parameter Estimators Chihhao Chang	An Incomplete-Data Fisher Scoring With An Acceleration Method Keiji Takai	Interactive Visualization Of Aggregated Symbolic Data Yoshikazu Yamamoto	Analysis Of Spatial Data With A Gaussian Mixture Markov Random Field Model Wataru Sakamoto	Forward Selection In Regression Models Based On Robust Estimation Shan Luo
1110	Selecting Generalised Linear Models Under Inequality Constraints Daniel Gerhard	Improvement Of Computation For Nonlinear Multivariate Methods Yuichi Mori			Feature Selection In High-Dimensional Models With Complex Block Structures Zehua Chen
1130	Statistical Generalized Derivative Applied To The Profile Likelihood Estimation In A Mixture Of Semiparametric Models Yuichi Hirose
1200	Closing Ceremony 098 Lecture Theatre (260-098)
1220	Lunch (1 hour 10 minutes)