Literatura académica sobre el tema "Multiparameter estimation"
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Artículos de revistas sobre el tema "Multiparameter estimation"
Miyazaki, Jisho y Keiji Matsumoto. "Imaginarity-free quantum multiparameter estimation". Quantum 6 (10 de marzo de 2022): 665. http://dx.doi.org/10.22331/q-2022-03-10-665.
Texto completoJensen, D. R. "Vector efficiency in multiparameter estimation". Linear Algebra and its Applications 151 (junio de 1991): 143–55. http://dx.doi.org/10.1016/0024-3795(91)90360-9.
Texto completoAlam, Khursheed y Amitava Mitra. "Component risk in multiparameter estimation". Annals of the Institute of Statistical Mathematics 38, n.º 3 (diciembre de 1986): 399–410. http://dx.doi.org/10.1007/bf02482526.
Texto completoDatta, Animesh, Rafał Demkowicz-Dobrzański y Jing Liu. "Quantum multiparameter estimation and metrology—preface". Journal of Physics A: Mathematical and Theoretical 54, n.º 46 (26 de octubre de 2021): 460301. http://dx.doi.org/10.1088/1751-8121/ac0d6b.
Texto completoKragten, J., P. C. de Jagher y L. G. Decnop-Weever. "Non-linear multiparameter estimation in spectrophotometry". Analytica Chimica Acta 180 (1986): 457–72. http://dx.doi.org/10.1016/0003-2670(86)80025-3.
Texto completoGorgucci, Eugenio, V. Chandrasekar y Gianfranco Scarchilli. "Radar and Surface Measurement of Rainfall during CaPE: 26 July 1991 Case Study". Journal of Applied Meteorology 34, n.º 7 (1 de julio de 1995): 1570–77. http://dx.doi.org/10.1175/1520-0450-34.7.1570.
Texto completoCimini, Valeria, Ludovica Ruggiero, Ilaria Gianani, Marco Sbroscia, Tecla Gasperi, Emanuele Roccia, Luca Mancino et al. "Multiparameter Approach to Dynamic Quantum Phase Estimation". Proceedings 12, n.º 1 (4 de diciembre de 2019): 55. http://dx.doi.org/10.3390/proceedings2019012055.
Texto completoGianani, Ilaria y Claudia Benedetti. "Multiparameter estimation of continuous-time quantum walk Hamiltonians through machine learning". AVS Quantum Science 5, n.º 1 (marzo de 2023): 014405. http://dx.doi.org/10.1116/5.0137398.
Texto completoLiu, Jing, Haidong Yuan, Xiao-Ming Lu y Xiaoguang Wang. "Quantum Fisher information matrix and multiparameter estimation". Journal of Physics A: Mathematical and Theoretical 53, n.º 2 (18 de diciembre de 2019): 023001. http://dx.doi.org/10.1088/1751-8121/ab5d4d.
Texto completoKarlen, Walter, S. Raman, J. M. Ansermino y G. A. Dumont. "Multiparameter Respiratory Rate Estimation From the Photoplethysmogram". IEEE Transactions on Biomedical Engineering 60, n.º 7 (julio de 2013): 1946–53. http://dx.doi.org/10.1109/tbme.2013.2246160.
Texto completoTesis sobre el tema "Multiparameter estimation"
Chen, Lu-Hung y 陳律閎. "On Estimation Methods in Generalized Multiparameter Likelihood Model". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/58043974660130747347.
Texto completo臺灣大學
數學研究所
98
Multiparameter likelihood models (MLMs) with multiple covariates have a wide range of applications; however, they encounter the “curse of dimension- ality” problem when the dimension of the covariates is large. We develop a generalized multiparameter likelihood model that copes with multiple covari- ates and adapts to dynamic structural changes well. It includes some popular models, such as the partially linear and varying-coefficients models, as special cases. We discuss the backfitting and profile likelihood procedures and present a simple, effective two-step method to estimate both the parametric and the nonparametric components when the model is fixed. All these estimators of the parametric component has the n−1/2 convergence rate, and the estimator of the nonparametric component enjoys an adaptivity property. We suggest a data-driven procedure for selecting the bandwidths, and propose an initial estimator in backfitting and profile likelihood estimation of the parametric part to ensure stability of the approach in general settings. We further develop an automatic procedure to identify constant parameters in the underlying model. We provide several simulation studies and an application to infant mortality data of China to demonstrate the performance of our proposed method.
Minkoff, Susan Elizabeth. "Multiparameter inversion and energy source estimation for a reflection seismic experiment". Thesis, 1995. http://hdl.handle.net/1911/16858.
Texto completoLu, Jin-Mei y 呂靜梅. "Efficiency of maximum likelihood estimator in multiparameter survival model". Thesis, 1997. http://ndltd.ncl.edu.tw/handle/11124319392573960959.
Texto completo國立中央大學
數學系
85
Le Cam 提出正則估計式(regular estimator)的概念,我們在本文討 論最大概似估計量(MLE)在多維參數及隨機設限(random censoriny)模式 下的正則有效性(regular efficiency) 假設可觀察到的數據是隨機設 限數據.我們以古典機率論為工具.在適當的條件下.證明了真實參數之MLE 的函數具有一致性,漸近常態性,以及對數概似函數的局部漸近常態性( LAN),也證明了真實參數之MLE的函數是正則估計式.同時,我們證明了關於 真實參數之MLE的漸近變異數(asymjptotic variance)最小,據此說明在此 模型下MLE的正則有效性.
Capítulos de libros sobre el tema "Multiparameter estimation"
Devroye, Luc y Gábor Lugosi. "Multiparameter Kernel Estimates". En Combinatorial Methods in Density Estimation, 118–33. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0125-7_12.
Texto completoMüller, Hans-Georg y Kathy Prewitt. "Applications of Multiparameter Weak Convergence for Adaptive Nonparametric Curve Estimation". En Nonparametric Functional Estimation and Related Topics, 141–66. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3222-0_11.
Texto completoGuo, Kunqi, Lixin Sun, Yong Lee y Shilou Jia. "Cognitive Radio Access Based on Multiparameter Matching Ability Estimation". En Communications in Computer and Information Science, 405–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24999-0_56.
Texto completoMagiera, Ryszard. "Optimal Sequential Estimation Procedures Under Delayed Observations From Multiparameter Exponential Families". En Operations Research Proceedings, 200–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58891-4_31.
Texto completo"Multiparameter Problems, in Particular Joint Estimation of Location and Scale". En Robust Statistics, 127–52. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471725250.ch6.
Texto completoTAKEUCHI, KEI y MASAFUMI AKAHIRA. "ASYMPTOTIC OPTIMALITY OF THE GENERALIZED BAYES ESTIMATOR IN MULTIPARAMETER CASES". En Joint Statistical Papers of Akahira and Takeuchi, 170–82. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812791221_0013.
Texto completoTAKEUCHI, Kei y Masafumi AKAHIRA. "Third Order Asymptotic Efficiency of Maximum Likelihood Estimator for Multiparameter Exponential Case". En Joint Statistical Papers of Akahira and Takeuchi, 101–23. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812791221_0008.
Texto completoActas de conferencias sobre el tema "Multiparameter estimation"
G. Birgin, Ernesto, Ricardo Biloti, Martin Tygel y Lucio T. Santos. "A New Algorithm For Traveltime Multiparameter Estimation". En 6th International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 1999. http://dx.doi.org/10.3997/2214-4609-pdb.215.sbgf301.
Texto completoShi, Jiancheng. "Estimation of snow properties using multiparameter SAR". En Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, editado por Christian D. Kummerow, JingShang Jiang y Seiho Uratuka. SPIE, 2003. http://dx.doi.org/10.1117/12.466603.
Texto completoYou, Chenglong, Sushovit Adhikari, Yuxi Chi, Margarite L. LaBorde, Corey T. Matyas, Chenyu Zhang, Zuen Su et al. "Multiparameter estimation with single photons—Linearly-optically generated quantum entanglement beats the shotnoise limit". En JSAP-OSA Joint Symposia. Washington, D.C.: Optica Publishing Group, 2017. http://dx.doi.org/10.1364/jsap.2017.7p_a410_4.
Texto completoKrueper, Gregory, Lior Cohen, Robert Mellors, Stephen B. Libby, Michael Messerly, Joshua Combes y Juliet T. Gopinath. "Quantum Multiparameter Estimation Model of Cascaded Phases in Optical Fiber". En CLEO: Applications and Technology. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_at.2023.jth2a.17.
Texto completoAlbarelli, Francesco y Rafal Demkowicz-Dobrzanski. "Probe Incompatibility in Multiparameter Noisy Quantum Channel Estimation". En Quantum Information and Measurement. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/qim.2021.w2a.1.
Texto completoCimini, Valeria, Mauro Valeri, Emanuele Polino, Simone Piacentini, Francesco Hoch, Gabriele Bizzarri, Francesco Ceccarelli et al. "Adaptive multiparameter estimation at the quantum bound on chip". En CLEO: Fundamental Science. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_fs.2023.ftu4a.1.
Texto completoYoshida, Toshiyuki y Yoshinori Sakai. "Reliability metric for multiparameter motion estimation and its application". En Electronic Imaging '97, editado por Jan Biemond y Edward J. Delp III. SPIE, 1997. http://dx.doi.org/10.1117/12.263269.
Texto completoCimini, Valeria, Federico Belliardo, Emanuele Polino, Francesco Hoch, Bruno Piccirillo, Nicolò Spagnolo, Vittorio Giovannetti y Fabio Sciarrino. "Sub-standard quantum limit estimation precision for a wide resources range". En CLEO: Fundamental Science. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_fs.2023.ftu4a.2.
Texto completoWarsza, Zygmunt Lech y Jacek Puchalski. "Estimation of Uncertainties in Indirect Multiparameter Measurements of Correlated Quantities". En 2019 12th International Conference on Measurement. IEEE, 2019. http://dx.doi.org/10.23919/measurement47340.2019.8780042.
Texto completoDemkowicz-Dobrzanski, Rafal, Francesco Albarelli y Wojciech Gorecki. "Fundamental Limits in Mutiparameter Quantum Metrology". En Quantum 2.0. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/quantum.2022.qw4c.6.
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