posterior probability

posterior probability的基本解释

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[经] 后验概率

与posterior probability相关的网络例句 [注：此内容来源于网络，仅供参考]

Methods Fifteen rabbits were divided into three groups: group A (posterior limbs was completely cut off and posterior tibia artery was ligated with posterior tibia vein), group B (posterior limb was uncompletely cut off and posterior tibia artery was ligated with posterior tibia vein), group C posterior limb was completely cut off and traditional operation type was applied to ligate the posterior tibia artery with posterior tibia artery (control group.

用15只兔分3组：A组为完全离断小腿胫后动脉缝接胫后静脉组，B组为部分离断小腿胫后动脉缝接胫后静脉组，C组为完全离断小腿应用传统的胫后动脉缝接胫后动脉对照组，3组均结扎胫前动脉，保留胫前静脉等未动脉化的静脉及缝接其它离断软组织。

Then we introduced transition probability kernel for the hidden state process and the confederated process. In the deep research, we found that some similar parameters of state transition probability, observation symbol probability and initial state probability were involved in the transition probability kernel of the confederated process. So we can complete the training of traditional HMM parameters by training the transition probability kernel of the confederated process. To our surprised, we got the consistency of transition probability kernel of the confederated process. Meanwhile, we proved the rationality and reliability of the parameters estimation equations under the classical B-W algorithm.

然后对联合过程的转移概率核展开研究，我们根据过程的取值空间的不同，引入了隐状态空间和联合过程空间上的转移概率核，研究中发现在联合空间上的转移概率核包含了在一般的隐马氏模型的参数估计中的所有类似的三组参数(转移概率，观测概率和初始概率)，因此对传统的隐马氏模型的参数训练我们可以通过联合过程的转移概率核的训练来完成，更令我们惊奇的是联合过程的转移概率核还具有一致性；同时对于Baum提出的经典的B-W算法给出的关于模型的参数重估计公式，证明了它的合理性和可靠性，即模型经过重估计后的参数能够满足给定的单观测序列在模型下发生的概率是单调递增的。

［Objective］ To analyze the outcome of internal fixation for occipitalization with atlantoaxial joint dislocation by posterior decompression and occipitocervical fusion ［Method］ From December 2005 to June 2007,8 patients with occipitalization and atlantoaxial joint dislocation received removal of the posterior arcus of atlas and the enlargement of the posterior edge of the foramen magnum after skull traction performing for an average of 135 daysAll patients were operated on by posterior craniocervical fusion using cervifix internal fixation system and autologous ilium graftsThe clinical efficacy after operation was analyzed by Japanese Orthopaedic Associationneural function score ［Result］ All the patients were followed up from 6 months to 2 years, average of 15 monthsNo complication was foundAtlantodental interval was 5~9 mm before and 4~6 mm after skull tractionAtlantoaxial joint dislocation didn't completely reducedThe neurological defects were improved to some extents according to the JOA scoreImageology showed all patients had full decompression and bony fusionThe loosening or broken internal fixation was not found ［Conclusion］ Posterior decompression and fusion is a feasible method for the treatment of occipitalization with atlantoaxial joint dislocation,and the clinical effect is satisfactory

分析后路减压枕颈融合内固定术治疗合并寰枢关节脱位的寰椎枕骨化临床疗效。［方法］2005年12月至2007年6月间，对8例合并寰枢关节脱位的寰椎枕骨化患者在行颅骨牵引治疗一段时间（12~16 d，平均135 d）后采用枕骨大孔后缘扩大，寰椎后弓切除减压取自体髂骨枕颈融合Cervifix系统内固定术，手术后采用日本骨科学会神经功能评分分析临床疗效。［结果］8例患者随访6个月~2年，平均为15个月。8例患者无一例出现术后并发症，术前寰齿前间隙为5~9 mm，经颅骨牵引后为5~7 mm，寰枢关节脱位未能完全复位。手术前后JOA评分示神经症状均有不同程度恢复，影像学检查示枕颈区减压充分植骨区获得骨性融合，无一例出现内固定松动或断裂。［结论］合并寰枢关节脱位的寰椎枕骨化患者术前仔细评估影像学改变，采用颅骨牵引一段时间后行后路减压枕颈融合内固定术的治疗方案是合理可行的，且临床效果满意。

与posterior probability相关的网络解释 [注：此内容来源于网络，仅供参考]

posterior probability：后验概率

主流的金融学理论中,一般把人们对不确定条件下各种未知变量的认知假定为了解其概率分布;而具体到决策过程,则认为个体所遵循的基本法则是贝叶斯规则,即人们根据新的信息从先验概率(prior probability)得到后验概率(posterior probability)的方法.

posterior probability：后概率

此咨询者患Hc的总概率或后概率(posterior probability)可计算如表12-1. (3)X连锁隐性遗传:按孟德尔分离律,男性患者(半合子),全部女儿为杂合子;若女性为杂合子,则子女中携带此基因的概率各为1/2,但男性若获得此基因(半合子)则可发病,女性为携带者.

posterior probability：事后机率

可说明变数间相互影响程度的机率关系,为一机率性专家系统[70],说明如下贝氏定理(Bayes' theorem)乃结合事前机率(prior probability)与样本机率(sample probability),来推论出事后机率(posterior probability)的一种定理,贝氏网路则是依贝氏定理,

posterior probability：后验概率; 事后概率

positive number 正数 | posterior probability 后验概率; 事后概率 | post-multiply 后乘; 自右乘

a posterior probability：后验机率

"a posterior probability","后验机率" | "a posterior probability","后验机率" | "a priori probability","先验机率"