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Cartogramming uncertainty in species distribution models: A Bayesian approach
Predicting the geographical distribution of a species is a central topic organisms. Invasive species can modify the structure and function of invaded ecosystems and globally. Therefore, measuring and visualizing the uncerta...
Environmental sciences (social aspects to be 5.7)
- 2019 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
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Towards Bayesian filtering on restricted support
Linear state-space model with uniformly distributed innovations is considered. No approximation is required for sole estimation of either model parameters or states mode by estimating within a sliding window, and (ii) j...
BC - Teorie a systémy řízení
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
Bayesian species distribution models integrate presence-only and presence-absence data to predict deer distribution and relative abundance
observations and culling returns for game species. Integrated species distribution modelsUsing geospatial data of wildlife presence to predict a species distribution for the past 15 years and fit...
Biodiversity conservation
- 2023 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Bayesian estimation of non-stationary AR model parameters via an unknown forgetting factor
propose a joint Bayesian identification of the AR parameters and the unknown forgetting factor. The resulting intractable posterior distribution is approximated usingIn this paper, we study Bayesian identification...
BC - Teorie a systémy řízení
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
Swapping based joint estimation of uniform state model
The paper presents an algorithm for the on-line joint parameter and state estimation of the state model whose innovations are uniformly distributed. This task is performed as the alternating subtasks of state filtration and...
BC - Teorie a systémy řízení
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Bayesian Inference of Heterogeneous Viscoplastic Material Parameters
of model parameters providing the distribution of the model response corresponding to the distribution of the observed data. In this contribution, a numerical model of kinematic is the Bayesian i...
Civil engineering
- 2018 •
- D
Rok uplatnění
D - Stať ve sborníku
The use of radial basis function surrogate models for sampling process acceleration in Bayesian inversio
of a mathematical model based on noisy measurements. Using the Bayesian approach, the vector of unknown parameters is described by its joint probability distribution, i.e. the posterior distribution. To p...
Applied mathematics
- 2020 •
- D •
- Link
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D - Stať ve sborníku
Výsledek na webu
The use of radial basis function surrogate models for sampling process acceleration in bayesian inversion
of a mathematical model based on noisy measurements. Using the Bayesian approach, the vector of unknown parameters is described by its joint probability distribution, i.e. the posterior distribution. To p...
Statistics and probability
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
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Bayesian Probability Models for Critical Illness Insurance
of this article is to use Bayesian binomial/beta model for estimation of event probability for critical illness insurance. In Bayesian approach to estimation we should always start with a priori distribution for u...
BB - Aplikovaná statistika, operační výzkum
- 2014 •
- D
Rok uplatnění
D - Stať ve sborníku
Bayesian joint-sequence models for grapheme-to-phoneme conversion
We describe a fully Bayesian approach to grapheme-to-phoneme conversion based on the joint-sequence model (JSM). Usually, standard smoothed n-gram language models (LM, e.g. Kneser-Ney) are used with JSMs to mod...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
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