Results 161 to 170 of about 8,348,933 (325)

How Regulatory Costs Impede Financial Technology Gains

European Financial Management, EarlyView.
ABSTRACT While financial technology innovation lowers intermediation costs, regulatory frictions may prevent these gains from reaching long‐term investors and borrowers. Using variation in retail investor participation driven by state securities registration lapses in peer‐to‐peer lending, we demonstrate that regulatory frictions are associated with ...
Shyam Venkatesan, Brian Wolfe, Woongsun Yoo   +2 more
wiley   +1 more source

Dimensional Reduction for Sampled Priors and Application to Photometric Redshift Distributions

The Astrophysical Journal
A typical Bayesian inference on the values of some parameters of interest q from some data D involves running a Markov Chain (MC) to sample from the posterior $p({\boldsymbol{q}},{\boldsymbol{n}}| D)\propto { \mathcal L }(D| {\boldsymbol{q}},{\boldsymbol{
G. M. Bernstein, W. d’Assignies, M. A. Troxel, A. Alarcon, A. Amon, G. Giannini, B. Yin, M. Aguena, S. S. Allam, F. Andrade-Oliveira, D. Brooks, A. Carnero Rosell, J. Carretero, L. N. da Costa, M. E. S. Pereira, J. De Vicente, S. Everett, J. Frieman, J. García-Bellido, D. Gruen, S. R. Hinton, D. L. Hollowood, K. Honscheid, D. J. James, S. Lee, J. L. Marshall, J. Mena-Fernández, R. Miquel, A. A. Plazas Malagón, E. Sanchez, D. Sanchez Cid, I. Sevilla-Noarbe, T. Shin, M. Smith, E. Suchyta, M. E. C. Swanson, N. Weaverdyck, J. Weller, P. Wiseman, (DES Collaboration)   +39 more
doaj   +1 more source

A half century of monitoring reveals contrasting survival responses of Icelandic seabirds to climate and fisheries pressures

Ibis, EarlyView.
Seabirds serve as key indicators of marine environmental changes, with adult survival being a critical parameter for assessing population health. Iceland hosts some of the largest seabird populations in the North Atlantic, making it a valuable location for studying long‐term trends in seabird demographics.
Sarah E. Gutowsky, Mark L. Mallory, Gregory J. Robertson, Anna M. Calvert, David A. Fifield, Sverrir Thorstensen, Ævar Petersen   +6 more
wiley   +1 more source

Unconditional Variance Estimation Under Complex Surveys

International Statistical Review, EarlyView.
Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley   +1 more source

The Random Power Function for Tests Based on Pivotal Quantities

International Statistical Review, EarlyView.
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis, Stefania Gubbiotti, Francesco Mariani   +2 more
wiley   +1 more source

Speciation of European bullheads (Cottus spp.): The next problem for taxonomy of northern freshwater fishes

Journal of Fish Biology, EarlyView.
Abstract High morphological and ecological diversity displayed by European bullheads led Freyhof et al. (2005) to describe 15 nominal species. However, the basis for declaring these nominal species is contentious due to a lack of rigorous statistical analysis of morphological variations among populations, limitations in the inferences made from ...
David S. Murray, Vladimír Kováč, David Wright, Gordon H. Copp   +3 more
wiley   +1 more source

Cross‐Sectional Studies: Strengths, Limitations, and Methodological Considerations

Journal of Periodontal Research, EarlyView.
Cross‐sectional studies measure variables at a single time point to estimate prevalence and support descriptive epidemiology ‐ characterizing population health, tracking trends via repeated surveys – and for developing and validating screening instruments and diagnostic models.
Sebastian‐Edgar Baumeister, Thomas Kocher, Panos N. Papapanou, Birte Holtfreter, Ryan T. Demmer   +4 more
wiley   +1 more source

Density‐Valued ARMA Models by Spline Mixtures

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley   +1 more source

Testing Distributional Granger Causality With Entropic Optimal Transport

Journal of Time Series Analysis, EarlyView.
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley   +1 more source

The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach

Journal of Time Series Analysis, EarlyView.
ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
wiley   +1 more source