Department of Computer Science, The University of Tokyo, Hongo 7-3-1, Tokyo, Japan;
USC Institute for Creative Technologies, 13274 Fiji Way, Marina del Rey, USA;
Department of Computer Science, The University of Tokyo, Hongo 7-3-1, Tokyo, Japan;
Department of Computer Science, The University of Tokyo, Hongo 7-3-1, Tokyo, Japan School of Computer Science, The University of Manchester, 131 Princess St, Manchester, UK;
机译:改进潜在高斯模型的近似贝叶斯推断的INLA方法
机译:多条件项响应模型的条件和拟条件最大似然估计的注记:在响应量表使用中存在个体差异的稳健推断
机译:带有被死亡截断的纵向数据的时变效应建模:条件模型,解释和推断
机译:浅析潜伏的潜在动态:改进推理的潜在条件模型
机译:条件建模和条件推断。
机译:纵向数据因死亡而被截断的时变效应建模:条件模型解释和推断
机译:用于连续手势识别的潜在动态判别模型