Matthew Schofield
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View article: If These Walls Could Talk: Investigating Bottlenose Dolphin Occupancy and Range in Fiord Ecosystems Using Passive Acoustic Monitoring and Visual Surveys
If These Walls Could Talk: Investigating Bottlenose Dolphin Occupancy and Range in Fiord Ecosystems Using Passive Acoustic Monitoring and Visual Surveys Open
Effective management of protected species requires a comprehensive understanding of their ecology. Within the Fiordland (Te Moana o Atawhenua) Marine Area (FMA) in south‐western Aotearoa/New Zealand, two of the four recognised bottlenose d…
View article: Optimising the design and analysis of capture-mark-recapture experiments using individual-based models
Optimising the design and analysis of capture-mark-recapture experiments using individual-based models Open
Capture-mark-recapture methods (CMR) are a commonly used tool in species conservation and management for the estimation of demographic parameters in a population. However, biases in these estimates can occur due to the heterogeneity in pro…
View article: Chronic Adaptation of the Coracohumeral Space and Subscapularis Tendon in Professional Baseball Pitchers
Chronic Adaptation of the Coracohumeral Space and Subscapularis Tendon in Professional Baseball Pitchers Open
Background: Pitchers frequently experience anterior shoulder pain, possibly associated with coracohumeral impingement; however, whether the coracohumeral distance (CHD) and/or subscapularis tendon adapt chronically (bilateral difference) d…
View article: Adaptive P-Splines for challenging filtering problems in biomechanics
Adaptive P-Splines for challenging filtering problems in biomechanics Open
Suppression of noise from recorded signals is a critically important data processing step for biomechanical analyses. While a wide variety of filtering or smoothing spline methods are available, the majority of these are not well suited fo…
View article: Seabird assemblages are linked to the major western boundary current off eastern Australia
Seabird assemblages are linked to the major western boundary current off eastern Australia Open
Identifying species assemblages helps understand the relationship between organisms and their environment. Assemblages can be used to predict biological changes caused by environmental perturbations, and are thus essential surrogates to mo…
View article: SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA
SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA Open
Data and R codes for the paper: Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data.
View article: SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA
SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA Open
Data and R codes for the paper: Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data.
View article: SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA
SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA Open
Data and R codes for the paper: Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data.
View article: SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA
SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA Open
Data and R codes for the paper: Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data.
View article: SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA
SITE OCCUPANCY AND ABUNDANCE MODELS FOR ANALYZING MULTIPLE-VISIT DETECTION/NONDETECTION DATA Open
Data and R codes for the paper: Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data.
View article: New tools for the investigation of muscle fiber-type spatial distributions across histological sections
New tools for the investigation of muscle fiber-type spatial distributions across histological sections Open
Background The functional and metabolic properties of skeletal muscles are partly a function of the spatial arrangement of fibers across the muscle belly. Many muscles feature a non-uniform spatial pattern of fiber types, and alterations t…
View article: Estimating Population Size: The Importance of Model and Estimator Choice
Estimating Population Size: The Importance of Model and Estimator Choice Open
We consider estimator and model choice when estimating abundance from capture–recapture data. Our work is motivated by a mark–recapture distance sampling example, where model and estimator choice led to unexpectedly large disparities in th…
View article: Additional file 2 of New tools for the investigation of muscle fiber-type spatial distributions across histological sections
Additional file 2 of New tools for the investigation of muscle fiber-type spatial distributions across histological sections Open
Additional file 2.
View article: Motivational Case Study Videos With R Analyses of the Data
Motivational Case Study Videos With R Analyses of the Data Open
Twenty motivational videos that focus on applied statistics are available on the University of Otago website. These are accompanied by data and lessons that are targeted at students in schools and universities that use GenStat software. Th…
View article: A review of movement models in open population capture–recapture
A review of movement models in open population capture–recapture Open
Understanding rates of survival and recruitment is critical to population management, and capture–recapture methods of estimation are widely used. Spatial models allow for a spatial detection process and can include the movement of activit…
View article: Pólya-Gamma Data Augmentation and Latent Variable Models for Multivariate Binomial Data
Pólya-Gamma Data Augmentation and Latent Variable Models for Multivariate Binomial Data Open
New Zealand police has long been suspected of systematic bias against the indigenous Māori. One resource available to investigate this possibility is the annual counts of police apprehensions and prosecutions, by offence type. However, mod…
View article: On the robustness of latent class models for diagnostic testing with no gold standard
On the robustness of latent class models for diagnostic testing with no gold standard Open
It is difficult to estimate sensitivity and specificity of diagnostic tests when there is no gold standard. Latent class models have been proposed as a potential solution as they provide estimates without the need for a gold standard. Usin…
View article: Comparison of Malware Classification Methods using Convolutional Neural Network based on API Call Stream
Comparison of Malware Classification Methods using Convolutional Neural Network based on API Call Stream Open
Malicious software is constantly being developed and improved, so detection and classification of malwareis an ever-evolving problem. Since traditional malware detection techniques fail to detect new/unknown malware, machine learning algor…
View article: COMPARISON OF MALWARE CLASSIFICATION METHODS USING CONVOLUTIONAL NEURAL NETWORK BASED ON API CALL STREAM
COMPARISON OF MALWARE CLASSIFICATION METHODS USING CONVOLUTIONAL NEURAL NETWORK BASED ON API CALL STREAM Open
Malicious software is constantly being developed and improved, so detection and classification of malwareis an ever-evolving problem. Since traditional malware detection techniques fail to detect new/unknown malware, machine learning algor…
View article: Convolutional Neural Network for Malware Classification Based on API Call Sequence
Convolutional Neural Network for Malware Classification Based on API Call Sequence Open
Malicious software is constantly being developed and improved, so detection and classification of malicious applications is an ever-evolving problem. Since traditional malware detection techniques fail to detect new or unknown malware, mac…
View article: Learning incentivization strategy for resource rebalancing in shared services with a budget constraint
Learning incentivization strategy for resource rebalancing in shared services with a budget constraint Open
In this paper, we describe the problem of learning an optimal incentivization strategy that maximizes the service level given a fixed budget constraint for a sharing service such as bike-sharing, carsharing, etc. in a spatiotemporal enviro…