Zobrazeno 1 - 10
of 11 491
pro vyhledávání: '"A. Tallman"'
The macroeconomy is a sophisticated dynamic system involving significant uncertainties that complicate modelling. In response, decision makers consider multiple models that provide different predictions and policy recommendations which are then synth
Externí odkaz:
http://arxiv.org/abs/2406.03321
Autor:
Tallman, Emily, West, Mike
We discuss and develop Bayesian dynamic modelling and predictive decision synthesis for portfolio analysis. The context involves model uncertainty with a set of candidate models for financial time series with main foci in sequential learning, forecas
Externí odkaz:
http://arxiv.org/abs/2405.01598
Autor:
Paula Skye Tallman, Natalia C. Piland, Melanie Villarmarzo, Lulu Victoria‐Lacy, Armando Valdés‐Velásquez
Publikováno v:
People and Nature, Vol 6, Iss 3, Pp 1036-1047 (2024)
Abstract Water insecurity, the inability to benefit from affordable, adequate, reliable and safe water, is one of the greatest contemporary threats facing humans. While ‘water insecurity’, as a concept, is globally recognized and serves an essent
Externí odkaz:
https://doaj.org/article/f1e4048042f14a7d9bb5ec0b1e3172c9
Autor:
Wellington F. Silva, Haesook T Kim, Maria S. Undurraga, Juan R. Navarro-Cabrera, Victor Salinas, Pablo Muxi, Raul A.M. Melo, Ana Beatriz F. Gloria, Katia B.B. Pagnano, Elenaide C. Nunes, Rosane Isabel Bittencourt, Ninoska Rojas, Shirley M.Q. Truyenque, Ana Ilda Ayala-Lugo, Ana Carolina Oliver, Lorena L. Figueiredo-Pontes, Fabiola Traina, Frederico Moreira, Evandro M. Fagundes, Bruno K.L. Duarte, Analí Pamela Mora-Alferez, Percy Ortiz, Jose Luis Untama, Martin S. Tallman, Raul C. Ribeiro, Arnold Ganser, Richard James Dillon, Peter J.M. Valk, Miguel A. Sanz, Bob Löwenberg, Nancy Berliner, Eduardo M. Rego
Publikováno v:
Haematologica, Vol 999, Iss 1 (2024)
Not available.
Externí odkaz:
https://doaj.org/article/ba243c9161a64f60b62c6d1681634760
Autor:
Dan C Wilkinson, Elizabeth Tallman, Mishal Ashraf, Tatiana Gelaf Romer, Jeehoon Lee, Benjamin Burnett, Pierre R Bushel
Publikováno v:
Bioinformatics and Biology Insights, Vol 18 (2024)
Single-cell RNA sequencing (scRNA-seq) allows for an unbiased assessment of cellular phenotypes by enabling the extraction of transcriptomic data. An important question in downstream analysis is how to evaluate biological similarities and differences
Externí odkaz:
https://doaj.org/article/970715216ad04d6f9b4dd42e19ea2bab
Autor:
Wilkinson, Dan C1 (AUTHOR), Tallman, Elizabeth1 (AUTHOR), Ashraf, Mishal1 (AUTHOR), Romer, Tatiana Gelaf1 (AUTHOR), Lee, Jeehoon2 (AUTHOR), Burnett, Benjamin1 (AUTHOR), Bushel, Pierre R1 (AUTHOR) pbushel@yahoo.com
Publikováno v:
Bioinformatics & Biology Insights. 10/2/2024, p1-12. 12p.
Autor:
Tallman, Bailey, Boone, Alexandra, Vijayakumar, Adhithya, Lopez, Fiona, Apata, Samuel, Martinez, Jehu, Allen, Roland
As astronomical observations and their interpretation improve, the case for cold dark matter (CDM) becomes increasingly persuasive. A particularly appealing version of CDM is a weakly interacting massive particle (WIMP) with a mass near the electrowe
Externí odkaz:
http://arxiv.org/abs/2210.15019
Autor:
Tallman, Bailey, Boone, Alexandra, LaFontaine, Caden, Croteau, Trevor, Ballard, Quinn, Hernandez, Sabrina, Ellis, Spencer, Vijayakumarm, Adhithya, Lopez, Fiona, Apata, Samuel, Martinez, Jehu, Allen, Roland
Assuming a dark matter fraction $\Omega_{DM} = 0.27$ and a reduced Hubble constant $h = 0.73$, we obtain a value of 70 GeV/c$^2$ for the mass of the dark matter WIMP we have previously proposed. We also obtain a value for the annihilation cross secti
Externí odkaz:
http://arxiv.org/abs/2210.05380
Autor:
Tallman, Emily, West, Mike
Entropic tilting (ET) is a Bayesian decision-analytic method for constraining distributions to satisfy defined targets or bounds for sets of expectations. This report recapitulates the foundations and basic theory of ET for conditioning predictive di
Externí odkaz:
http://arxiv.org/abs/2207.10013
Autor:
Tallman, Emily, West, Mike
Decision-guided perspectives on model uncertainty expand traditional statistical thinking about managing, comparing and combining inferences from sets of models. Bayesian predictive decision synthesis (BPDS) advances conceptual and theoretical founda
Externí odkaz:
http://arxiv.org/abs/2206.03815