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Candidate tumour suppressor genes at 11q23-q24 in breast cancer: evidence of alterations in PIG8, a gene involved in p53-induced apoptosis

Oncogene, 2001-11, Vol.20 (53), p.7753-7760

2001

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The effect of interventions on COVID-19

Nature (London), 2020-12, Vol.588 (7839), p.E26-E28

2020

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Evaluating regression and probabilistic methods for ECG-based electrolyte prediction

Scientific reports, 2024-07, Vol.14 (1), p.15273-12, Article 15273

2024

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Smoothing With Couplings of Conditional Particle Filters

Journal of the American Statistical Association, 2020-04, Vol.115 (530), p.721-729

2020

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Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Communications biology, 2021-02, Vol.4 (1), p.244-244, Article 244

2021

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Particle Gibbs with Ancestor Sampling

Journal of machine learning research, 2014, Vol.15, p.2145

2014

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RETRACTED ARTICLE: Smoothing with Couplings of Conditional Particle Filters

Journal of the American Statistical Association, 2020-01, Vol.115 (529), p.489-489

2020

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Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo

Mechanical systems and signal processing, 2018-05, Vol.104, p.866-883

2018

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Modeling and Calibration of Inertial and Vision Sensors

The International journal of robotics research, 2010-02, Vol.29 (2-3), p.231-244

2010

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Bayesian semiparametric Wiener system identification

Automatica (Oxford), 2013-07, Vol.49 (7), p.2053-2063

2013

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Backward Simulation Methods for Monte Carlo Statistical Inference

Foundations and trends in machine learning, 2013-01, Vol.6 (1), p.1-143

Lindsten, Fredrik

2013

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A vaccine combination of lipid nanoparticles and a cholera toxin adjuvant derivative greatly improves lung protection against influenza virus infection

Mucosal immunology, 2021-03, Vol.14 (2), p.523-536

2021

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Learning of state-space models with highly informative observations: A tempered sequential Monte Carlo solution

Mechanical systems and signal processing, 2018-05, Vol.104, p.915-928

2018

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High-Dimensional Filtering Using Nested Sequential Monte Carlo

IEEE transactions on signal processing, 2019-08, Vol.67 (16), p.4177-4188

2019

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Elements of Sequential Monte Carlo

Foundations and trends in machine learning, 2019-01, Vol.12 (3), p.187-306

2019

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Particle Metropolis–Hastings using gradient and Hessian information

Statistics and computing, 2015-01, Vol.25 (1), p.81-92

2015

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Divide-and-Conquer With Sequential Monte Carlo

Journal of computational and graphical statistics, 2017-04, Vol.26 (2), p.445-458

2017

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Publisher Correction: Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Communications biology, 2021-03, Vol.4 (1), p.354-354, Article 354

2021

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Integrated Surveillance of Disparities in Vaccination Coverage and Morbidity during the COVID-19 Pandemic: A Cohort Study in Southeast Sweden

Vaccines (Basel), 2024-07, Vol.12 (7), p.763

2024

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Marginalized particle filters for mixed linear/nonlinear state-space models

IEEE transactions on signal processing, 2005-07, Vol.53 (7), p.2279-2289

2005

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Energy-Based Models for Deep Probabilistic Regression

Computer Vision - ECCV 2020, 2020, Vol.12365, p.325-343

2020

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Effectiveness of the BNT162b2 mRNA Vaccine Compared with Hybrid Immunity in Populations Prioritized and Non-Prioritized for COVID-19 Vaccination in 2021-2022: A Naturalistic Case-Control Study in Sweden

Vaccines (Basel), 2022-08, Vol.10 (8), p.1273

2022

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Complexity analysis of the marginalized particle filter

IEEE transactions on signal processing, 2005-11, Vol.53 (11), p.4408-4411

2005

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Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, p.1289-1298

2020

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Continuous renal replacement therapy is associated with less chronic renal failure than intermittent haemodialysis after acute renal failure

Intensive care medicine, 2007-05, Vol.33 (5), p.773-780

2007

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Candidate tumour suppressor genes at 11q23-q24 in breast cancer: evidence of alterations in PIG8, a gene involved in p53-induced apoptosis

The effect of interventions on COVID-19

Evaluating regression and probabilistic methods for ECG-based electrolyte prediction

Smoothing With Couplings of Conditional Particle Filters

Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Particle Gibbs with Ancestor Sampling

RETRACTED ARTICLE: Smoothing with Couplings of Conditional Particle Filters

Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo

Modeling and Calibration of Inertial and Vision Sensors

Bayesian semiparametric Wiener system identification

Backward Simulation Methods for Monte Carlo Statistical Inference

A vaccine combination of lipid nanoparticles and a cholera toxin adjuvant derivative greatly improves lung protection against influenza virus infection

Learning of state-space models with highly informative observations: A tempered sequential Monte Carlo solution

High-Dimensional Filtering Using Nested Sequential Monte Carlo

Elements of Sequential Monte Carlo

Particle Metropolis–Hastings using gradient and Hessian information

Divide-and-Conquer With Sequential Monte Carlo

Publisher Correction: Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Integrated Surveillance of Disparities in Vaccination Coverage and Morbidity during the COVID-19 Pandemic: A Cohort Study in Southeast Sweden

Marginalized particle filters for mixed linear/nonlinear state-space models

Energy-Based Models for Deep Probabilistic Regression

Effectiveness of the BNT162b2 mRNA Vaccine Compared with Hybrid Immunity in Populations Prioritized and Non-Prioritized for COVID-19 Vaccination in 2021-2022: A Naturalistic Case-Control Study in Sweden

Complexity analysis of the marginalized particle filter

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

Continuous renal replacement therapy is associated with less chronic renal failure than intermittent haemodialysis after acute renal failure

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