Table 3 Posterior estimates from the Bayesian Poisson model.

From: Modeling invasion risk of Mimosa pigra L. in Northeastern Thailand using Bayesian count models

Predictor

Mean

SD

2.5%

97.5%

\(\hat{R}\)

ESS

Evidence

Bulk

Tail

Intercept

1.68

0.76

0.17

3.17

1

5389

7411

*

pH

0.05

0.06

−0.07

0.18

1

6815

8119

OM

−0.03

0.12

−0.27

0.20

1

5908

8206

N

0.78

0.77

−0.74

2.26

1

6752

8060

P

−0.06

0.04

−0.14

0.03

1

4322

6897

K

0.03

0.01

0.01

0.05

1

3069

5344

*

Bulk Density

−0.10

0.31

−0.71

0.48

1

9747

8265

Diameter

−0.24

0.08

−0.41

−0.11

1

7893

7323

*

Height

−0.05

0.09

−0.23

0.12

1

8073

9140

Texture: Clay Loam

0.92

0.23

0.47

1.38

1

3571

5174

*

Texture: Loam

0.95

0.53

−0.13

1.93

1

7125

7744

Texture: Sandy Clay

0.71

0.25

0.23

1.22

1

4098

6107

*

Texture: Sandy Clay Loam

0.65

0.23

0.21

1.11

1

3142

5149

*

Texture: Sandy Loam

0.58

0.23

0.14

1.03

1

3701

5688

*

Texture: Silty Clay

0.54

0.22

0.11

0.95

1

7666

7923

*

Texture: Silty Clay Loam

−0.41

0.34

−1.14

0.21

1

10660

8082

Structure: Subangular

−0.35

0.14

−0.63

−0.06

1

5372

7647

*

Structure: Angula

0.44

0.34

−0.24

1.11

1

7648

8530

  1. Note. Bold coefficients (*) indicate parameters whose 95% credible intervals exclude zero, providing strong evidence of an effect on M. pigra density. “Mean” refers to the mean posterior of each parameter. “SD” refers to the posterior standard deviation. “ESS” refers to the effective sample size.