TY - JOUR
T1 - Explicit vector expression of exact score for time series models in state space form
AU - Nagakura, Daisuke
PY - 2013/7
Y1 - 2013/7
N2 - Koopman and Shephard (1992). [1] and Segal and Weinstein (1989). [4] propose a formula for calculating the exact score vector for a general form of linear Gaussian state space models. However, for applying their method, one needs to calculate the derivatives of functions with respect to vectors and matrices, which can be intractable in many practical cases. Koopman and Shephard (1992). [1] derive its explicit expression only for a particular case. In this note, we complement Koopman and Shephard (1992). [1] and Segal and Weinstein. [4] by deriving an explicit vector expression of the exact score vector for the general form of linear Gaussian state space models.
AB - Koopman and Shephard (1992). [1] and Segal and Weinstein (1989). [4] propose a formula for calculating the exact score vector for a general form of linear Gaussian state space models. However, for applying their method, one needs to calculate the derivatives of functions with respect to vectors and matrices, which can be intractable in many practical cases. Koopman and Shephard (1992). [1] derive its explicit expression only for a particular case. In this note, we complement Koopman and Shephard (1992). [1] and Segal and Weinstein. [4] by deriving an explicit vector expression of the exact score vector for the general form of linear Gaussian state space models.
KW - Score vector
KW - State space model
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U2 - 10.1016/j.stamet.2013.01.003
DO - 10.1016/j.stamet.2013.01.003
M3 - Article
AN - SCOPUS:84874414427
SN - 1572-3127
VL - 13
SP - 69
EP - 74
JO - Statistical Methodology
JF - Statistical Methodology
ER -