Works Published in 2019

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Displaying works 21 - 40 of 225 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2019 speech

Dynamic Correlation Multivariate Stochastic Volatility with Latent Factors

Ghosh, S. (2019, April). Presented at the Department of Mathematics Colloquium, North Dakota State University, Fargo, ND.

By: S. Ghosh

Event: Department of Mathematics Colloquium, North Dakota State University at Fargo, ND on April 11, 2019

Source: NC State University Libraries
Added: February 20, 2021

2019 conference paper

On the Probability Distributions of Duration of Heatwaves

Proceedings of the ICSA 2019 Applied Statistics Symposium. Presented at the ICSA 2019 Applied Statistics Symposium, Raleigh, NC.

By: S. Ghosh

Event: ICSA 2019 Applied Statistics Symposium at Raleigh, NC on June 9-12, 2019

Source: NC State University Libraries
Added: February 20, 2021

2019 speech

When are PH, AFT and PO Models not Adequate for Health Risk Assessment?

Ghosh, S. (2019, August). Presented at the SAMSI-GDRR Opening Workshop, Raleigh, NC.

By: S. Ghosh

Event: SAMSI-GDRR Opening Workshop at Raleigh, NC on August 6, 2019

Source: NC State University Libraries
Added: February 20, 2021

2019 conference paper

Spatial Models for the Duration and Frequency of Heatwaves Based on Stationary Processes

In A. Adhikari & M. R. Adhikari (Eds.), Proceedings of the IMBIC (Vol. 8, p. 209). Kolkata, India: Institute for Mathematics, Bio-informatics, Information-Technology and Computer Science.

By: S. Ghosh

Ed(s): A. Adhikari & M. Adhikari

Event: 13th International Conference of IMBIC on Mathematical Science for Advancement of Science and Technology (MSAST 2019) at Kolkata, India on December 21-23, 2019

Source: NC State University Libraries
Added: February 20, 2021

2019 report

An Unified Semiparametric Approach to Model Lifetime Data with Crossing Survival Curves

(ArXiv No. 1910.04475).

By: F. Demarqui, V. Mayrink & S. Ghosh

Source: NC State University Libraries
Added: February 20, 2021

2019 journal article

How High the Hedge: Relationships Between Prices and Yields in the Federal Crop Insurance Program

Journal of Agricultural and Resource Economics, 44(2), 227–245.

By: A. Ramsey, B. Goodwin & S. Ghosh*

Sources: NC State University Libraries, ORCID
Added: February 20, 2021

2019 book

Bayesian Statistical Methods

By: B. Reich & S. Ghosh*

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID
Added: February 6, 2021

2019 article

Effects of Proportional Hazard Assumption on Variable Selection Methods for Censored Data

STATISTICS IN BIOPHARMACEUTICAL RESEARCH, Vol. 12, pp. 199–209.

By: A. Sheng n & S. Ghosh n

author keywords: AIDS trials; Crossing survival curves; Hazard regression; Penalized regression
TL;DR: The Cox proportional hazard (PH) model is widely used to determine the effects of risk factors and treatments (covariates) on survival time of subjects that might be right censored and variable selection under two alternative models are explored. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: NC State University Libraries
Added: January 25, 2021

2019 journal article

Determining the Number of Latent Factors in Statistical Multi-Relational Learning

Journal of Machine Learning Research, 20(23), 1–38.

By: C. Shi, W. Lu & R. Song

Source: NC State University Libraries
Added: September 27, 2020

2019 report

Matrix completion for survey data prediction with multivariate missingness

https://arxiv.org/pdf/1907.08360

By: X. Mao, Z. Wang & S. Yang

Source: NC State University Libraries
Added: September 27, 2020

2019 report

Nonparametric mass imputation for data integration

(Joint Statistical Meetings Report No. #301796).

By: S. Chen, S. Yang & J. Kim

Source: NC State University Libraries
Added: September 27, 2020

2019 report

Muti-cause causal inference with unmeasured confounding and binary outcome

https://arxiv.org/pdf/1907.13323

By: D. Kong, S. Yang & L. Wang

Source: NC State University Libraries
Added: September 27, 2020

2019 article

MIMIX: A Bayesian Mixed-Effects Model for Microbiome Data From Designed Experiments

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.

By: N. Grantham n, Y. Guan n, B. Reich n, E. Borer* & K. Gross n

author keywords: Continuous shrinkage prior; Factor analysis; Microbiome; Mixed model; Nutrient Network; OTU abundance data
TL;DR: A novel Bayesian mixed-effects model that exploits cross-taxa correlations within the microbiome, a model the authors call microbiome mixed model (MIMIX), tailored to large microbiome experiments using a combination of Bayesian factor analysis to efficiently represent dependence between taxa and Bayesian variable selection methods to achieve sparsity. (via Semantic Scholar)
Source: ORCID
Added: August 18, 2020

2019 article

Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.

author keywords: Google Street View Air Quality Data; Kriging; Mobile sensors; Spatiotemporal models; Vecchia approximation
TL;DR: A computationally efficient spatiotemporal model is developed for publicly available, fine-scale, high-quality air pollution measurements acquired using mobile monitors to provide real-time air pollution maps and short-term air quality forecasts on a fine-resolution spatial scale. (via Semantic Scholar)
Source: ORCID
Added: August 18, 2020

2019 article

Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.

author keywords: Dirichlet process prior; Dynamic treatment regimes; Observational data; Periodontal disease; Practice-based setting; Precision medicine; Sequential optimization
TL;DR: Simulation experiments and application to a rich database of electronic dental records from the HealthPartners HMO shows that the proposed method leads to better dental health without increasing the average recommended recall time relative to competing methods. (via Semantic Scholar)
Source: ORCID
Added: August 18, 2020

2019 article

The use of Bayesian inference in the characterization of materials and thin films

ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, Vol. 75, pp. A211–A211.

Sources: Web Of Science, NC State University Libraries
Added: August 3, 2020

2019 journal article

Large crabgrass (Digitaria sanguinalis) and Palmer amaranth (Amaranthus palmeri) intraspecific and interspecific interference in soybean

WEED SCIENCE, 67(6), 649–656.

author keywords: Biomass; competition; rectangular hyperbola model; weed density; yield loss
TL;DR: Results from these studies indicate that A. palmeri is more competitive than D. sanguinalis at lower densities, but that similar yield loss can occur when densities greater than 4 plants m–2 of either weed are present. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (OpenAlex)
Source: Web Of Science
Added: July 27, 2020

2019 article

Shape Constrained Tensor Decompositions

2019 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2019), pp. 287–297.

author keywords: tensor decomposition; multiway arrays; multilinear algebra; higher-order singular value decomposition (HOSVD); over-complete libraries; sparse regression
TL;DR: A new low-rank tensor factorization where one mode is coded as a sparse linear combination of elements from an over-complete library to provide a viable technique for analyzing multitudes of data in a more comprehensible fashion. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 13, 2020

2019 journal article

Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization

PLOS ONE, 14(10).

MeSH headings : Chemistry Techniques, Analytical / methods; Gas Chromatography-Mass Spectrometry; Petroleum / analysis; Principal Component Analysis; Reference Standards; Sample Size
TL;DR: A framework with unsupervised and supervised analyses to optimally group complex substances based on their analytical features is proposed and a quantitative comparative assessment of clustering results via Fowlkes–Mallows index, and classification results via model accuracies in predicting the group of an unknown complex substance is presented. (via Semantic Scholar)
Source: Web Of Science
Added: June 1, 2020

2019 journal article

Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes

DIABETES CARE, 42(2), 192–199.

By: T. Triolo*, A. Fouts*, L. Pyle*, L. Yu*, P. Gottlieb*, A. Steck*, C. Greenbaum, M. Atkinson ...

MeSH headings : Adolescent; Adult; Autoantibodies / analysis; Autoantibodies / blood; Autoimmunity / genetics; Autoimmunity / physiology; Child; Child, Preschool; Diabetes Mellitus, Type 1 / diagnosis; Diabetes Mellitus, Type 1 / epidemiology; Diabetes Mellitus, Type 1 / genetics; Diabetes Mellitus, Type 1 / prevention & control; Disease Progression; Diseases in Twins / diagnosis; Diseases in Twins / epidemiology; Diseases in Twins / genetics; Diseases in Twins / immunology; Environment; Female; Genetic Predisposition to Disease; Glutamate Decarboxylase / immunology; Humans; Insulin / metabolism; Islets of Langerhans / immunology; Male; Mass Screening / methods; Risk Factors; Seroepidemiologic Studies; Siblings; Twins / genetics; Twins, Dizygotic / genetics; Twins, Dizygotic / statistics & numerical data; Twins, Monozygotic / genetics; Twins, Monozygotic / statistics & numerical data; Young Adult
TL;DR: Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody–positive identical twins and multiple autoantibia–positive nonidentical twins. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: April 20, 2020

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