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Publication search results
found 286 matches
- 2024
- Gabriel S. Gusmão, Andrew J. Medford:
Maximum-likelihood estimators in physics-informed neural networks for high-dimensional inverse problems. Comput. Chem. Eng. 181: 108547 (2024) - Jane Ivy Coons, Carlotta Langer, Michael Ruddy:
Classical iterative proportional scaling of log-linear models with rational maximum likelihood estimator. Int. J. Approx. Reason. 164: 109043 (2024) - 2023
- Panawit Hanpinitsak, Kosuke Murakami, Jun-ichi Takada, Kentaro Saito:
Maximum-Likelihood-Based Location, Orientation, Transmitted Power, and Antenna Beamwidth Estimator Utilizing the Angle-of-Arrival and Received Power for Spectrum Sharing at Millimeter Wave Bands. IEEE Access 11: 6896-6911 (2023) - Yakoub Boularouk:
Standard Laplace quasi-maximum likelihood estimator for GARCH processes. Commun. Stat. Simul. Comput. 52(4): 1490-1503 (2023) - Igor Djurovic, Adam Wojciechowski:
Quasi-maximum likelihood-based estimator of the hyperbolic frequency modulated signals. Digit. Signal Process. 142: 104194 (2023) - Erdal Mehmetcik, Umut Orguner, Cagatay Candan:
An Approximate MSE Expression for Maximum Likelihood and Other Implicitly Defined Estimators of Non-Random Parameters. Signal Process. 204: 108838 (2023) - Mitsuru Toyoda, Yuhu Wu:
Maximum-Likelihood State Estimators in Probabilistic Boolean Control Networks. IEEE Trans. Cybern. 53(6): 3414-3427 (2023) - Huaping Xu, Guobing Zeng, Wei Liu, Yuan Wang:
MLE-MPPL: A Maximum Likelihood Estimator for Multipolarimetric Phase Linking in MTInSAR. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - Theagenis J. Abatzoglou:
Root Mean Square Error of the Maximum Likelihood Estimator of Signals in Gaussian Noise Using the Directional Curvature of the Signal Manifold. ACSSC 2023: 1298-1302 - Sara El Bouch, Eric Chaumette, Jordi Vilà-Valls:
Joint Maximum a Posteriori - Maximum Likelihood Estimator for Linear Discrete- Time Systems. CAMSAP 2023: 421-425 - Yigong Hu, Richard J. Harris, Richard Timmerman, Binbin Lu:
A Hierarchical and Geographically Weighted Regression Model and Its Backfitting Maximum Likelihood Estimator (Short Paper). GIScience 2023: 39:1-39:6 - Imen Ayadi, Florent Bouchard, Frédéric Pascal:
Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry. ICASSP 2023: 1-5 - Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol:
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference. ICML 2023: 2289-2312 - Noam Gavish, Or Ordentlich:
Minimax Risk Upper Bounds Based on Shell Analysis of a Quantized Maximum Likelihood Estimator. ISIT 2023: 2105-2110 - Gabriel S. Gusmão, Andrew J. Medford:
Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems. CoRR abs/2304.05991 (2023) - 2022
- Benchao Wang, Pan Qin, Hong Gu:
Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in GaGLM. IEEE Access 10: 14386-14396 (2022) - Josephine Dufitinema, Seppo Pynnönen, Tommi Sottinen:
Maximum likelihood estimators from discrete data modeled by mixed fractional Brownian motion with application to the Nordic stock markets. Commun. Stat. Simul. Comput. 51(9): 5264-5287 (2022) - Weiyi Liu, Die Wan, Wei Chen:
A closed-form quasi-maximum likelihood estimator of bid-ask spread. Commun. Stat. Simul. Comput. 51(3): 1066-1079 (2022) - Mahdi Teimouri:
Bias corrected maximum likelihood estimators under progressive type-I interval censoring scheme. Commun. Stat. Simul. Comput. 51(11): 6854-6865 (2022) - Hakan S. Sazak, Melis Zeybek:
The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling. Comput. Stat. 37(3): 1069-1109 (2022) - Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant:
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification. IEEE Control. Syst. Lett. 6: 175-180 (2022) - Peng-Lang Shui, Peng-Jia Zou, Tian Feng:
Outlier-robust truncated maximum likelihood parameter estimators of generalized Pareto distributions. Digit. Signal Process. 127: 103527 (2022) - Hongcheng Zeng, Wei Yang, Pengbo Wang, Jie Chen:
A Modified PGA for Spaceborne SAR Scintillation Compensation Based on the Weighted Maximum Likelihood Estimator and Data Division. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3938-3947 (2022) - Feng Qiu, Hao Ding, Jianhua Hu:
Asymptotic Properties of Quasi-Maximum Likelihood Estimators for Heterogeneous Spatial Autoregressive Models. Symmetry 14(9): 1894 (2022) - Danni Xie, Xin Liang, Ruilin Liang:
Self-Weighted Quasi-Maximum Likelihood Estimators for a Class of MA-GARCH Model. Symmetry 14(8): 1723 (2022) - Mengmeng Wang, Jixian Zhang, Kazhong Deng, Huifu Zhuang, Fenfen Hua:
An Adaptive and Adjustable Maximum-Likelihood Estimator for SAR Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - Yang Liu, Yuxin Sun, Zhenhua Xiong:
An Approximate Maximum Likelihood Estimator for Instantaneous Frequency Estimation of Multicomponent Nonstationary Signals. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - Christos N. Karras, Aristeidis Karras, Leonidas Theodorakopoulos, Ioanna Giannoukou, Spyros Sioutas:
Expanding Queries with Maximum Likelihood Estimators and Language Models. ICR 2022: 201-213 - Christos N. Karras, Aristeidis Karras, Markos Avlonitis, Ioanna Giannoukou, Spyros Sioutas:
Maximum Likelihood Estimators on MCMC Sampling Algorithms for Decision Making. AIAI Workshops 2022: 345-356 - Phan Viet Hoa Vu, Frédéric Brigui, Arnaud Breloy, Yajing Yan, Guillaume Ginolhac:
A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator. IGARSS 2022: 76-79
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