Variance Reduction of Sequential Monte Carlo Approach for GNSS Phase Bias Estimation
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Mathematics (8:4) - Basel : MDPI - Art.-Id. 522
- Event
-
Veröffentlichung
- (where)
-
Berlin
- (who)
-
Technische Universität Berlin
- (when)
-
2020
- Creator
-
Tian, Yumiao
Ge, Maorong
Neitzel, Frank
- DOI
-
10.14279/depositonce-10214
- Handle
-
11303/11328
- URN
-
urn:nbn:de:101:1-2020061702113833239995
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:43 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Tian, Yumiao
- Ge, Maorong
- Neitzel, Frank
- Technische Universität Berlin
Time of origin
- 2020
Other Objects (12)
Variance reduction with multilevel estimators
GNSS inter-system bias estimation, modeling, and prediction
Variance reduction by means of deterministic computation
Variance Reduction Procedures for Market Risk Estimation
Utilizing least squares variance component estimation to combine multi-GNSS clock offsets
Variance reduction in sample approximations of stochastic programs
Bias-Variance Aware Integration of Judgmental Forecasts and Statistical Models
Efficient variance reduction for American call options using symmetry arguments
Recursive differencing: Bias reduction with regular kernels
Reduction of nonresponse bias through case prioritization
Measurement error bias reduction in unemployment durations
A least-squares variance component estimation approach to combine Multi-GNSS orbit and clock solutions
Variance reduction with multilevel estimators
GNSS inter-system bias estimation, modeling, and prediction
Variance reduction by means of deterministic computation
Variance Reduction Procedures for Market Risk Estimation
Utilizing least squares variance component estimation to combine multi-GNSS clock offsets
Variance reduction in sample approximations of stochastic programs
Bias-Variance Aware Integration of Judgmental Forecasts and Statistical Models
Efficient variance reduction for American call options using symmetry arguments
Recursive differencing: Bias reduction with regular kernels
Reduction of nonresponse bias through case prioritization
Measurement error bias reduction in unemployment durations
A least-squares variance component estimation approach to combine Multi-GNSS orbit and clock solutions
Variance reduction with multilevel estimators
GNSS inter-system bias estimation, modeling, and prediction
Variance reduction by means of deterministic computation
Variance Reduction Procedures for Market Risk Estimation
Utilizing least squares variance component estimation to combine multi-GNSS clock offsets
Variance reduction in sample approximations of stochastic programs
Bias-Variance Aware Integration of Judgmental Forecasts and Statistical Models
Efficient variance reduction for American call options using symmetry arguments
Recursive differencing: Bias reduction with regular kernels
Reduction of nonresponse bias through case prioritization
Measurement error bias reduction in unemployment durations