Table 4 Posterior estimates from the Bayesian negative binomial 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

1.69

0.87

−0.03

3.41

1

5467

6683

pH

0.05

0.08

−0.11

0.20

1

6410

7109

OM

−0.03

0.14

−0.31

0.25

1

6055

7332

N

0.77

0.93

−1.04

2.61

1

6690

8004

P

−0.05

0.05

−0.16

0.05

1

4342

6342

K

0.03

0.01

−0.00

0.05

1

3333

4970

*

Bulk Density

−0.10

0.37

−0.83

0.64

1

8684

7961

Diameter

−0.24

0.08

−0.41

−0.09

1

8182

6966

*

Height

−0.04

0.10

−0.25

0.17

1

8192

8001

Texture: Clay Loam

0.90

0.27

0.38

1.43

1

3911

5759

*

Texture: Loam

0.89

0.59

−0.31

2.01

1

7352

7238

Texture: Sandy Clay

0.69

0.30

0.09

1.28

1

4378

6470

*

Texture: Sandy Clay Loam

0.64

0.27

0.11

1.17

1

3470

5005

*

Texture: Sandy Loam

0.56

0.26

0.05

1.07

1

4073

6435

*

Texture: Silty Clay

0.55

0.26

0.02

1.08

1

7997

7786

*

Texture: Silty Clay Loam

−0.39

0.40

−1.21

0.37

1

10547

7314

Structure: Subangular

−0.34

0.16

−0.67

−0.02

1

6433

8083

*

Structure: Angular

0.44

0.43

−0.41

1.30

1

7337

7140

  1. Note: Bold coefficients (*) indicate parameters whose 95% credible intervals exclude zero, providing strong evidence of an effect on M. pigra density. The reference category for Soil Texture is Clay, and for Soil Structure is Granular. “Mean” refers to the mean posterior of each parameter. “SD” refers to the posterior standard deviation. “ESS” refers to the effective sample size. In the negative binomial model, the shape parameter quantifies the degree of overdispersion in the count data.