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Spatio-temporal variability and trend analysis of rainfall in Wainganga river basin, Central India, and forecasting using state-space models

Authors : Nanabhau S. Kudnar; Pranaya Diwate; Varun Narayan Mishra

Subjects: Atmospheric Science

Source: Theoretical and Applied Climatology. 150:469-488

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Wavelet Multiscale Granger Causality Analysis Based on State Space Models

Authors : Cheng, Qiyi Zhang; Chuanlin Zhang; Shuangqin

Subjects: Granger causality; state space model; wavelet transform

Source: Symmetry; Volume 15; Issue 6; Pages: 1286

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Assessing the spatial and temporal organization of Red Kangaroo, Western Grey Kangaroo and Eastern Grey Kangaroo populations in eastern Australia using multivariate autoregressive state‐space models

Authors : Neal Finch; Glenn Wallace; Anthony R. Pople

Subjects: Multivariate statistics; education.field_of_study; biology

Source: Ecological Management & Restoration. 22:106-123

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Assessing movement patterns using Bayesian state space models on Lake Winnipeg walleye

Authors : Eva C. Enders; Douglas A. Watkinson; Inesh Prabuddha Munaweera Arachchilage

Subjects: Habitat; Movement (music); Telemetry

Source: Canadian Journal of Fisheries and Aquatic Sciences. 78:1407-1421

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Modelling menstrual cycle length in athletes using state-space models

Authors : John Newell; Thiago de Paula Oliveira; Charles R. Pedlar

Subjects: Adult; Adolescent; Statistical methods

Source: Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)De Paula Oliveira, T, Bruinvels, G, Pedlar, C R, Moore, B & Newell, J 2021, ' Modelling menstrual cycle length in athletes using

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ARIMA and State-Space models for sugarcane (Saccharum officinarum) yield forecasting in Northern agro-climatic zone of Haryana

Authors : U. P. Verma; B. K. Hooda; Ekta Hooda

Subjects: General Immunology and Microbiology; biology; business.industry

Source: Journal of Applied and Natural Science. 12:53-58

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Extensions to the invariance property of maximum likelihood estimation for affine‐transformed state‐space models

Authors : Adrian Pizzinga; Marcelo Fernandes

Subjects: Statistics and Probability; Applied Mathematics; 05 social sciences

Source: Journal of Time Series Analysis. 42:355-371

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Improving inference for nonlinear state‐space models of animal population dynamics given biased sequential life stage data

Authors : Leo Polansky; Lara Mitchell; Ken B. Newman

Subjects: Statistics and Probability; Computer science; Population Dynamics

Source: Biometrics

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On Filtering and Smoothing Algorithms for Linear State-Space Models Having Quantized Output Data

Authors : Angel L. Cedeño; Rodrigo A. González; Boris I. Godoy ...

Subjects: General Mathematics; extended Kalman filter/smoother; Computer Science (miscellaneous)

Source: Mathematics; Volume 11; Issue 6; Pages: 1327Mathematics, 11(6):1327. Multidisciplinary Digital Publishing Institute (MDPI)

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Using Bayesian state-space models to understand the population dynamics of the dominant malaria vector, Anopheles funestus in rural Tanzania

Authors : Ngowo, Halfan S.; Okumu, Fredros O.; Hape, Emmanuel E.

Subjects: Infectious Diseases; parasitic diseases; Anopheles

Source: Malaria journal. 21(1)

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