Results 81 to 90 of about 601,288 (278)

Factors determining the forecast errors of market analysts for fiscal variables in Brazil

RACE: Revista de Administração, Contabilidade e Economia, 2020
The objective of this study is to investigate determinant factors the forecast errors of market analysts for Brazilian fiscal variables. The data for conducting the research was obtained in the Prisma Fiscal, the Ministry of Economy's system of ...
Francisca Aparecida de Souza, César Augusto Tibúrcio Silva, Karla Roberta Castro Pinheiro Alves   +2 more
doaj   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Spatial‐statistical downscaling with uncertainty quantification in biodiversity modelling

Methods in Ecology and Evolution
Accurate downscaling with uncertainty quantification and its inclusion in fitting biodiversity models to data are essential for accurate, valid inferences and predictions.
Xiaotian Zheng, Noel Cressie, David A. Clarke, Melodie A. McGeoch, Andrew Zammit‐Mangion   +4 more
doaj   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Optimization bias in forest management planning solutions due to errors in forest variables

Silva Fennica, 1999
The yield of various forest variables is predicted by means of a simulation system to provide information for forest management planning. These predictions contain many kinds of uncertainty, for example, prediction and measurement errors.
Kangas, Annika, Kangas, Jyrki
doaj   +1 more source

Non-negative variance component estimation for the partial EIV model by the expectation maximization algorithm

Geomatics, Natural Hazards & Risk, 2020
A difficulty in variance component estimation (VCE) is that the estimates may become negative, which is not acceptable in practice. This article presents two new methods for non-negative VCE that utilize the expectation maximization algorithm for the ...
Leyang Wang, Qiwen Wu
doaj   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source

Accruals, Investment and Errors-in-Variables [PDF]

We formulate well-known discretionary accruals models in an investment setting. Given that accruals basically consist of short-term investment, we introduce, (i) cash-flows, as a proxy for financial constraints and other financial markets imperfections ...
Christian Calmès, Denis Cormier, Francois Racicot, Raymond Théoret   +3 more
core  

Practical Consequences of the Bias in the Laplace Approximation to Marginal Likelihood for Hierarchical Models

Entropy
Due to the high dimensional integration over latent variables, computing marginal likelihood and posterior distributions for the parameters of a general hierarchical model is a difficult task.
Subhash R. Lele, C. George Glen, José Miguel Ponciano   +2 more
doaj   +1 more source

Errors-in-variables and validation problems in reaction norm predictions for wild populations [PDF]

Modeling, Identification and Control
Studies of phenotypic responses in wild populations are often based on reaction norm models where the environmental drivers in many cases are related to climate change.
Rolf Ergon
doaj   +1 more source