The optimal number of sentinel plants to include in the sample depends on the sample size, sample interval and the total number of sentinels in the population. حسب Francesca A. Lovell-Read (14378253)

Bayesian network for BMV_OD model. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"

Bayesian network for BMV_C1 model. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"

Bayesian network for BMV_C3 model. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"

Bayesian network for BMV_C2 model. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Study flowchart. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Risk of bias graph. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Characteristics of included studies. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

"…From this dataset we can compute the MI between each interaction and the outcome and <b>(D)</b> obtain a ranked list (<i>I</i>_<i>δ</i>) based on this metric. <b>(E)</b> Starting from the interaction at the top of <i>I</i>_<i>δ</i>, <i>hi</i>PRS constructs <i>I</i>_<i>K</i>, selecting <i>K</i> (where <i>K</i> is user-specified) terms through the greedy optimization of the ratio between MI (<i>relevance</i>) and a suitable measure of similarity for interactions (<i>redundancy)</i> (cf. …"

Optimising the number of sentinels to include in the population. حسب Francesca A. Lovell-Read (14378253)

The baseline case–the model in the absence of sentinel plants. حسب Francesca A. Lovell-Read (14378253)

An overview of the experimental paradigm. حسب Nienke E. R. van Bueren (11414330)

Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation حسب Xinkai Zhou (9346175)

"…Originally introduced in the Bayesian imaging literature, ProxMCMC employs the Moreau-Yosida envelope for a smooth approximation of the total-variation regularization term, fixes variance and regularization strength parameters as constants, and uses the Langevin algorithm for the posterior sampling. …"

Colored non-motorized lanes. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"

Key factors for different accident clusters. حسب Xinchi Dong (18554525)

"…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …"