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Interview with Shannon Simpson
Shannon Simpson
Jan 01, 0001
In her June 12, 2013 interview with Martha Manning, Shannon Simpson detailed her time as an undergraduate student at Winthrop from 1995-1999. Discussed are details of Simpson's life as a student - residence halls, classes, meals...
Published by: Winthrop University
Murine Kupffer cells: mononuclear phagocytes deficient in the generation of reactive oxygen intermediates
Lepay, D.A., Nathan, C.F., Steinman, R.M., Murray, H.W., and Cohn, Z.A. Murine Kupffer cells: mononuclear phagocytes deficient in the generation of reactive oxygen intermediates. J. Exp. Med. 161: 1079-1096, 1985
Dr. Daniel F. Mahony Selected as President of Winthrop University
Winthrop University
Jan 01, 0001
Mahony will begin his duties on July 1, 2015. The President's House will be home to Mahony, his wife Laura and their two children, Gavin, 15, and Elena, 12. Dr. Daniel F. Mahony, dean of the College of Education, Health and...
Published by: Winthrop University
McShane on the Transformation of Botany
Daniel Mayer
Mar 16, 2022
Daniel Mayer, leadership educator and researcher into the epistemology of biology, has long reflected on the nature of organization, both of organisms and of organizations. This is the topic of his recently completed PhD...
Daring to Stretch toward the Ultimate Consummation
Daniel Helminiak
Mar 16, 2022
Daniel A. Helminiak is Emeritus Professor of Psychology, University of West Georgia. He holds PhDs in theology and psychology and has published widely in these fields and their applications to spirituality and sexuality. Among...
McShane on the Transformation of Botany
Daniel Mayer
Mar 16, 2022
Daniel Mayer, leadership educator and researcher into the epistemology of biology, has long reflected on the nature of organization, both of organisms and of organizations. This is the topic of his recently completed PhD...
Daring to Stretch toward the Ultimate Consummation
Daniel Helminiak
Mar 16, 2022
Daniel A. Helminiak is Emeritus Professor of Psychology, University of West Georgia. He holds PhDs in theology and psychology and has published widely in these fields and their applications to spirituality and sexuality. Among...
Being Native American in Business
Tribally-owned American Indian enterprises provide a unique cross-cultural setting for emerging Native American business leaders. This paper examines the manner in which American Indian leaders negotiate the boundaries between...
The Merry Wives of Windsor
Daniel Gordon
Jan 01, 0001
The Merry Wives of Windsor A story of LUST, GREED, and DIRTY LAUNDRYBy William Shakespeare, adapted by Daniel Gordon. Shakespeare's The Merry Wives of Windsor uses more prose than any of his other plays, for indeed, these...
Published by: Winthrop University
Review of Daniel P. Scheid, The Cosmic Common Good. Oxford University Press, 2016. 248 pages
Jared Call
Jan 07, 2019
Earth was moderately cooler last year, but not by much. 2017, additionally, was a year of record-breaking disasters for the United States. These disasters included devastating California wildfires, a trio of hurricanes, hail...
Review of Daniel P. Scheid, The Cosmic Common Good. Oxford University Press, 2016. 248 pages
Jared Call
Jan 07, 2019
Earth was moderately cooler last year, but not by much. 2017, additionally, was a year of record-breaking disasters for the United States. These disasters included devastating California wildfires, a trio of hurricanes, hail...
Spatio-temporal modeling of particulate matter concentration through the SPDE approach
In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model involves a Gaussian Field (GF), affected by a measurement error, and a...
Being Native American in Business
Tribally-owned American Indian enterprises provide a unique cross-cultural setting for emerging Native American business leaders. This paper examines the manner in which American Indian leaders negotiate the boundaries between...
Spatio-temporal modeling of particulate matter concentration through the SPDE approach
In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model involves a Gaussian Field (GF), affected by a measurement error, and a...
Bayesian computing with INLA
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable tool in practice via the R-package R-INLA. New...
Does non-stationary spatial data always require non-stationary random fields?

A stationary spatial model is an idealization and we expect that the true dependence structures of physical phenomena are spatially varying, but how should we handle this non-stationarity in practice? We study the challenges...

Bayesian computing with INLA
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable tool in practice via the R-package R-INLA. New...
Being Native American in Business
Tribally-owned American Indian enterprises provide a unique cross-cultural setting for emerging Native American business leaders. This paper examines the manner in which American Indian leaders negotiate the boundaries between...
On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods
A large number of statistical models are "doubly-intractable": the likelihood normalising term, which is a function of the model parameters, is intractable, as well as the marginal likelihood (model evidence). This means that...
Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy
Gaussian random fields (GRFs) constitute an important part of spatial modelling, but can be computationally infeasible for general covariance structures. An efficient approach is to specify GRFs via stochastic partial...
Bayesian adaptive smoothing splines using stochastic differential equations
The smoothing spline is one of the most popular curve-fitting methods, partly because of empirical evidence supporting its effectiveness and partly because of its elegant mathematical formulation. However, there are two...

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