# Monte Carlo method

## Papers overview

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Highly Cited

2009

Highly Cited

2009

- 2009

Markov chain Monte Carlo and sequential Monte Carlo methods have emerged as the two main tools to sample from high dimensionalâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- 2006

The Model â€¢ Markovian, nonlinear, non-Gaussian state-space model: â€¢ Described by â€¢ Observations arrive sequentially and are noisyâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- 2005

A generalization of the sampling method introduced by Metropolis et al. (1953) is presented along with an exposition of theâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- 2003

The first â‚¬ price and the Â£ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; theâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- ICRA
- 1999

To navigate reliably in indoor environments, a mobile robot must know where it is. Thus, reliable position estimation is a keyâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- 1998

Monte Carlo is one of the most versatile and widely used numerical methods. Its convergence rate, O(N~^), is independent ofâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- 1998

Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.orgâ€¦Â (More)

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Highly Cited

1995

Highly Cited

1995

- 1995

Markov chain Monte Carlo methods for Bayesian computation have until recently been restricted to problems where the jointâ€¦Â (More)

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Highly Cited

1994

Highly Cited

1994

- 1994

A new sequential data assimilation method is discussed. It is based on forecasting the error statistics using Monte Carlo methodsâ€¦Â (More)

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Highly Cited

1993

Highly Cited

1993

- SIAM Review
- 1993

192. At the beginnings of most chapters and sections of chapters, the authors motivate the reader by explaining verbally whatâ€¦Â (More)

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