matlab的initial,initial 值的问题怎么解决

有没有同学在进行DSGE运算时，dynare的运算结果是这样？怎么样解决，不知道问题出在哪里了

POSTERIOR KERNEL OPTIMIZATION PROBLEM!

(minus) the hessian matrix at the "mode" is not positive definite!

=> posterior variance of the estimated parameters are not positive.

You should try to change the initial values of the parameters using

the estimated_params_init block, or use another optimization routine.

Warning: The results below are most likely wrong!

> In dynare_estimation_1 at 436

In dynare_estimation at 62

In gi at 643

In dynare at 132

Warning: Matrix is singular to working precision.

> In dynare_estimation_1 at 450

In dynare_estimation at 62

In gi at 643

In dynare at 132

RESULTS FROM POSTERIOR MAXIMIZATION

parameters

prior mean mode s.d. t-stat prior pstdev

gamma 0.870 0.8700 Inf 0.0000 gamm 0.5000

kappa 1.100 1.1000 Inf 0.0000 gamm 0.5000

h 0.700 0.7000 Inf 0.0000 beta 0.2000

s 5.000 5.0000 Inf 0.0000 gamm 0.2500

delta_2 0.700 0.7000 Inf 0.0000 gamm 0.5000

rho_b 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_l 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_a 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_i 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_z 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_tl 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_tk 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_tc 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_g 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_d 0.500 0.5000 Inf 0.0000 beta 0.2000

rho_A 0.500 0.5000 Inf 0.0000 beta 0.2000

sigma_b 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_l 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_a 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_i 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_z 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_tl 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_tk 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_tc 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_g 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_d 1.000 1.0000 Inf 0.0000 invg 4.0000

sigma_A 1.000 1.0000 Inf 0.0000 invg 4.0000

phi_z 0.200 0.2000 Inf 0.0000 gamm 0.1000

phi_tk 1.000 1.0000 Inf 0.0000 gamm 0.3000

phi_tl 0.500 0.5000 Inf 0.0000 gamm 0.2500

phi_g 0.070 0.0700 Inf 0.0000 gamm 0.3000

phi_kl 0.250 0.2500 Inf 0.0000 norm 0.1000

phi_kc 0.050 0.0500 Inf 0.0000 norm 0.1000

phi_lc 0.050 0.0500 Inf 0.0000 norm 0.1000

phi_d 0.050 0.0500 Inf 0.0000 norm 0.1000

gamma_z 0.150 0.1500 Inf 0.0000 gamm 0.2000

gamma_tk 0.150 0.1500 Inf 0.0000 gamm 0.2000

gamma_tl 0.150 0.1500 Inf 0.0000 gamm 0.2000

gamma_g 0.150 0.1500 Inf 0.0000 gamm 0.2000

gamma_d 0.150 0.1500 Inf 0.0000 gamm 0.2000

Log data density [Laplace approximation] is NaN.

MH: Multiple chains mode.

MH: Old _mh files successfully erased!

MH: Searching for initial values...

MH: I couldn't get a valid initial value in 100 trials.

MH: You should Reduce mh_init_scale...

MH: Parameter mh_init_scale is equal to 0.400000.

MH: Enter a new value...