Programme At A Glance


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


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
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
1830 Conference Dinner
Owen G Glenn Building Foyer
Level 1, 20 Grafton Road


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


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)