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Structured prior distributions for the covariance matrix in latent factor models (2024)
Journal Article
Heaps, S. E., & Jermyn, I. H. (2024). Structured prior distributions for the covariance matrix in latent factor models. Statistics and Computing, 34(4), Article 143. https://doi.org/10.1007/s11222-024-10454-0

Factor models are widely used for dimension reduction in the analysis of multivariate data. This is achieved through decomposition of a p×p covariance matrix into the sum of two components. Through a latent factor representation, they can be interpre... Read More about Structured prior distributions for the covariance matrix in latent factor models.

A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis (2022)
Journal Article
Botsas, T., Cumming, J., & Jermyn, I. (2022). A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis. Journal of the Royal Statistical Society: Series C, 71(4), 951-968. https://doi.org/10.1111/rssc.12562

In petroleum well test analysis, deconvolution is used to obtain information about the reservoir system. This information is contained in the response function, which can be estimated by solving an inverse problem in the pressure and flow rate measur... Read More about A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis.

Modality-Constrained Density Estimation via Deformable Templates (2021)
Journal Article
Dasgupta, S., Pati, D., Jermyn, I. H., & Srivastava, A. (2021). Modality-Constrained Density Estimation via Deformable Templates. Technometrics, 63(4), 536-547. https://doi.org/10.1080/00401706.2020.1867647

Estimation of a probability density function (pdf) from its samples, while satisfying certain shape constraints, is an important problem that lacks coverage in the literature. This article introduces a novel geometric, deformable template constrained... Read More about Modality-Constrained Density Estimation via Deformable Templates.

Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach (2020)
Presentation / Conference Contribution
Cumming, J., Botsas, T., Jermyn, I., & Gringarten, A. (2020, December). Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach. Presented at SPE Virtual Europec 2020

Objectives/Scope: A stable, single-well deconvolution algorithm has been introduced for well test analysis in the early 2000’s, that allows to obtain information about the reservoir system not always available from individual flow periods, for exampl... Read More about Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach.

Versatile method for quantifying and analyzing morphological differences in experimentally obtained images (2019)
Journal Article
Bagdassarian, K., Connor, K., Jermyn, I., & Etchells, J. (2020). Versatile method for quantifying and analyzing morphological differences in experimentally obtained images. Plant Signaling & Behavior, 15(1), Article 1693092. https://doi.org/10.1080/15592324.2019.1693092

Analyzing high-resolution images to gain insight into anatomical properties is an essential tool for investigation in many scientific fields. In plant biology, studying plant phenotypes from micrographs is often used to build hypotheses on gene funct... Read More about Versatile method for quantifying and analyzing morphological differences in experimentally obtained images.

Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models (2019)
Presentation / Conference Contribution
Franzel, M., Jones, S., Jermyn, I., Allen, M., & McCaffrey, K. (2019, December). Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models. Presented at Petroleum Geostatistics 2019

The three-dimensional geometry of fluvial channel sand bodies has received considerably less attention than their internal sedimentology, despite the importance of sandstone body geometry for subsurface reservoir modelling. The aspect ratio (width/th... Read More about Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models.

Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue (2019)
Journal Article
Wang, N., Bagdassarian, K., Doherty, R., Kroon, J., Connor, K., Wang, X., Wang, W., Jermyn, I., Turner, S., & Etchells, J. (2019). Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue. Development, 146(10), Article 177105. https://doi.org/10.1242/dev.177105

In plants, cells do not migrate. Tissues are frequently arranged in concentric rings, thus expansion of inner layers is coordinated with cell division and/or expansion of cells in outer layers. In Arabidopsis stems, receptor kinases, PXY and ER, gene... Read More about Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue.

Shape-constrained and unconstrained density estimation using geometric exploration (2018)
Presentation / Conference Contribution
Dasgupta, S., Pati, D., Jermyn, I. H., & Srivastava, A. (2018, June). Shape-constrained and unconstrained density estimation using geometric exploration. Presented at IEEE Statistical Signal Processing Workshop (SSP)., Freiburg, Germany

The problem of nonparametrically estimating probability density functions (pdfs) from observed data requires posing and solving optimization problems on the space of pdfs. We take a geometric approach and explore this space for optimization using act... Read More about Shape-constrained and unconstrained density estimation using geometric exploration.

Paralogues of the PXY and ER receptor kinases enforce radial patterning in plant vascular tissue (2018)
Journal Article
Wang, N., Bagdassarian, K. S., Doherty, R. E., Wang, X. Y., Kroon, J. T., Wang, W., Jermyn, I. H., Turner, S. R., & Etchells, J. P. Paralogues of the PXY and ER receptor kinases enforce radial patterning in plant vascular tissue. https://doi.org/10.1101/357244. Manuscript submitted for publication

Plant cell walls do not allow cells to migrate, thus plant growth and development is entirely the consequence of changes to cell division and cell elongation. Where tissues are arranged in concentric rings, expansion of inner tissue, such as that whi... Read More about Paralogues of the PXY and ER receptor kinases enforce radial patterning in plant vascular tissue.