Results 31 to 40 of about 775,359 (318)

Estimating effective reproduction number revisited

Infectious Disease Modelling, 2023
Accurately estimating the effective reproduction number is crucial for characterizing the transmissibility of infectious diseases to optimize interventions and responses during epidemic outbreaks. In this study, we improve the estimation of the effective
Shinsuke Koyama
doaj   +1 more source

Statistical modeling of facial aging based on 3D scans [PDF]

, 2010
This thesis presents an approach to the modeling of facial aging using and extending the Morphable Model technique. For modeling the face variation across individuals, facial expressions, and physical attributes, we collected 3D face scans of 298 persons.
Paysan, Pascal
core   +1 more source

Comparison of Bootstrap Methods for Estimating Causality in Linear Dynamic Systems: A Review

Entropy, 2023
In this study, we present a thorough comparison of the performance of four different bootstrap methods for assessing the significance of causal analysis in time series data. For this purpose, multivariate simulated data are generated by a linear feedback
Fumikazu Miwakeichi, Andreas Galka
doaj   +1 more source

Statistical Risk Models [PDF]

SSRN Electronic Journal, 2016
44 pages; a trivial typo corrected, references updated; to appear in The Journal of Investment Strategies.
Kakushadze, Zura, Yu, Willie
openaire   +2 more sources

Statistical ecology comes of age [PDF]

, 2014
The desire to predict the consequences of global environmental change has been the driver towards more realistic models embracing the variability and uncertainties inherent in ecology.
Schurr, Frank M, Thuiller, Wilfried, Etienne, M. P., Pavoine, S., Thomas, L., Buckland, Stephen Terrence, Morgan, Byron J.T., Bez, N., Munoz, F., Dray, S., Pavoine, Sandrine, Morgan, Byron J., Gosselin, Frederic, Ovaskainen, O., Morgan, Byron J. T., Morales, J. M., Rexstad, E., Morgan, B.J.T., Choquet, R., Morales, Juan Manuel, Mortier, F., Thuiller, W., Trenkel, Verena, Trenkel, V., Pradel, R., Schurr, F.M., Bertrand, S., Choquet, Remi, Buckland, S.T., Schurr, Frank M., Thomas, Len, Munoz, Francois, Schurr, Frank, Bertrand, Sophie, Bez, Nicolas, Merigot, B., Buckland, Stephen T., Ovaskainen, Otso, Morales, Juan M., Monestiez, P., Morgan, B. J. T., Morales, J.M., Dray, Stephane, Fewster, R., Etienne, M.-P., Rexstad, Eric, Mortier, Frederic, Gosselin, F., Fewster, Rachel, de Valpine, Perry, Gimenez, O., Schurr, Frankl M., Morales, Juan M, Schurr, F. M., Gimenez, Olivier, Monestiez, Pascal, Merigot, Bastien, Etienne, Marie-Pierre, Etienne, Marie Pierre, Pradel, Roger, de Valpine, P., Morgan, Byron JT, Buckland, S. T., Buckland, Stephen T   +63 more
core   +1 more source

Spatio-Temporal Analysis of Urban Heatwaves Using Tukey g-and-h Random Field Models

IEEE Access, 2021
Real-time heatwave risk management with fine-grained spatial resolution is important for analysis of urban heat island (UHI) effects and local heatwaves.
Daisuke Murakami, Gareth W. Peters, Tomoko Matsui, Yoshiki Yamagata   +3 more
doaj   +1 more source

Adaptive Differential Privacy Cox-MLP Model Based on Federated Learning

Mathematics
In the data-driven healthcare sector, balancing privacy protection and model performance is critical. This paper enhances accuracy and reliability in survival analysis by integrating differential privacy, deep learning, and the Cox proportional hazards ...
Jie Niu, Runqi He, Qiyao Zhou, Wenjing Li, Ruxian Jiang, Huimin Li, Dan Chen   +6 more
doaj   +1 more source

Statistical assessment of multiaxial HCF criteria at the grain scale [PDF]

, 2014
Multiaxial high cycle fatigue modeling of materials is an issue that concerns many industrial domains (automotive, aerospace, nuclear, etc.) and in which many progress still remains to be achieved.
PALIN-LUC, Thierry, HOR, Anis, MOREL, Franck, PALIN LUC, Thierry, SAINTIER, Nicolas, ROBERT, Camille   +5 more
core   +1 more source

adabmDCA: adaptive Boltzmann machine learning for biological sequences

BMC Bioinformatics, 2021
Background Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families.
Anna Paola Muntoni, Andrea Pagnani, Martin Weigt, Francesco Zamponi   +3 more
doaj   +1 more source

Statistical Language Modelling [PDF]

, 2003
Grammar-based natural language processing has reached a level where it can ‘understand’ language to a limited degree in restricted domains. For example, it is possible to parse textual material very accurately and assign semantic relations to parts of sentences.
Gotoh, Yoshihiko, Renals, Steve
openaire   +3 more sources