Skip to main content
Ctrl+K
Logo image
5.9.2

Site Navigation

  • 首页
  • 示例
  • 学习
  • API
  • 贡献

Site Navigation

  • 首页
  • 示例
  • 学习
  • API
  • 贡献

Section Navigation

  • 发行版
    • 连续
      • pymc.AsymmetricLaplace
      • pymc.Beta
      • pymc.Cauchy
      • pymc.ChiSquared
      • pymc.ExGaussian
      • pymc.Exponential
      • pymc.Flat
      • pymc.Gamma
      • pymc.Gumbel
      • pymc.HalfCauchy
      • pymc.HalfFlat
      • pymc.HalfNormal
      • pymc.HalfStudentT
      • pymc.Interpolated
      • pymc.InverseGamma
      • pymc.Kumaraswamy
      • pymc.Laplace
      • pymc.Logistic
      • pymc.LogitNormal
      • pymc.LogNormal
      • pymc.Moyal
      • pymc.Normal
      • pymc.Pareto
      • pymc.PolyaGamma
      • pymc.Rice
      • pymc.SkewNormal
      • pymc.StudentT
      • pymc.Triangular
      • pymc.TruncatedNormal
      • pymc.Uniform
      • pymc.VonMises
      • pymc.Wald
      • pymc.Weibull
    • 离散
      • pymc.Bernoulli
      • pymc.BetaBinomial
      • pymc.Binomial
      • pymc.Categorical
      • pymc.DiscreteUniform
      • pymc.DiscreteWeibull
      • pymc.Geometric
      • pymc.HyperGeometric
      • pymc.NegativeBinomial
      • pymc.OrderedLogistic
      • pymc.OrderedProbit
      • pymc.Poisson
    • 多变量
      • pymc.CAR
      • pymc.Dirichlet
      • pymc.DirichletMultinomial
      • pymc.ICAR
      • pymc.KroneckerNormal
      • pymc.LKJCholeskyCov
      • pymc.LKJCorr
      • pymc.MatrixNormal
      • pymc.Multinomial
      • pymc.MvNormal
      • pymc.MvStudentT
      • pymc.OrderedMultinomial
      • pymc.StickBreakingWeights
      • pymc.Wishart
      • pymc.WishartBartlett
      • pymc.ZeroSumNormal
    • 混合物
      • pymc.Mixture
      • pymc.NormalMixture
      • pymc.零膨胀二项分布
      • pymc.零膨胀负二项分布
      • pymc.零膨胀泊松
      • pymc.HurdlePoisson
      • pymc.HurdleNegativeBinomial
      • pymc.HurdleGamma
      • pymc.HurdleLogNormal
    • 时间序列
      • pymc.AR
      • pymc.EulerMaruyama
      • pymc.GARCH11
      • pymc.GaussianRandomWalk
      • pymc.MvGaussianRandomWalk
      • pymc.MvStudentTRandomWalk
    • 截断
    • 审查
    • 模拟器
    • 变换
      • pymc.distributions.transforms.circular
      • pymc.distributions.transforms.log
      • pymc.distributions.transforms.log_exp_m1
      • pymc.distributions.transforms.logodds
      • pymc.distributions.transforms.simplex
      • pymc.distributions.transforms.sum_to_1
      • pymc.distributions.transforms.CholeskyCovPacked
      • pymc.distributions.transforms.Interval
      • pymc.distributions.transforms.LogExpM1
      • pymc.distributions.transforms.ordered
      • pymc.distributions.transforms.SumTo1
      • pymc.distributions.transforms.ZeroSumTransform
      • pymc.distributions.transforms.Chain
    • 分发工具
      • pymc.Continuous
      • pymc.CustomDist
      • pymc.Discrete
      • pymc.分布
      • pymc.SymbolicRandomVariable
      • pymc.DiracDelta
  • 高斯过程
    • 实现
      • pymc.gp.HSGP
      • pymc.gp.Latent
      • pymc.gp.LatentKron
      • pymc.gp.Marginal
      • pymc.gp.MarginalKron
      • pymc.gp.MarginalApprox
      • pymc.gp.TP
    • 均值函数
      • pymc.gp.mean.Zero
      • pymc.gp.mean.Constant
      • pymc.gp.mean.Linear
    • 协方差函数
      • pymc.gp.cov.Constant
      • pymc.gp.cov.WhiteNoise
      • pymc.gp.cov.ExpQuad
      • pymc.gp.cov.RatQuad
      • pymc.gp.cov.Exponential
      • pymc.gp.cov.Matern52
      • pymc.gp.cov.Matern32
      • pymc.gp.cov.Linear
      • pymc.gp.cov.Polynomial
      • pymc.gp.cov.Cosine
      • pymc.gp.cov.Periodic
      • pymc.gp.cov.WarpedInput
      • pymc.gp.cov.Gibbs
      • pymc.gp.cov.Coregion
      • pymc.gp.cov.ScaledCov
      • pymc.gp.cov.Kron
  • 模型
    • 模型创建与检查
      • pymc.model.core.Model
      • pymc.model.core.model_to_graphviz
      • pymc.model.core.modelcontext
    • 模型条件
      • pymc.model.transform.conditioning.change_value_transforms
      • pymc.model.transform.conditioning.do
      • pymc.model.transform.conditioning.observe
      • pymc.model.transform.conditioning.remove_value_transforms
    • 函数图
      • pymc.model.fgraph.克隆模型
      • pymc.model.fgraph.fgraph_from_model
      • pymc.model.fgraph.从fgraph生成模型
  • 采样器
    • pymc.sample
    • pymc.sample_prior_predictive
    • pymc.样本后验预测
    • pymc.sample_posterior_predictive_w
    • pymc.sampling.jax.sample_blackjax_nuts
    • pymc.sampling.jax.sample_numpyro_nuts
    • pymc.init_nuts
    • pymc.draw
    • pymc.NUTS
    • pymc.HamiltonianMC
    • pymc.BinaryGibbsMetropolis
    • pymc.BinaryMetropolis
    • pymc.CategoricalGibbsMetropolis
    • pymc.CauchyProposal
    • pymc.DEMetropolis
    • pymc.DEMetropolisZ
    • pymc.LaplaceProposal
    • pymc.Metropolis
    • pymc.MultivariateNormalProposal
    • pymc.NormalProposal
    • pymc.PoissonProposal
    • pymc.UniformProposal
    • pymc.CompoundStep
    • pymc.Slice
  • 变分推断
    • pymc.ADVI
    • pymc.ASVGD
    • pymc.SVGD
    • pymc.FullRankADVI
    • pymc.ImplicitGradient
    • pymc.推理
    • pymc.KLqp
    • pymc.fit
    • pymc.Empirical
    • pymc.FullRank
    • pymc.MeanField
    • pymc.sample_approx
    • pymc.近似
    • pymc.Group
    • pymc.variational.operators.KL
    • pymc.variational.operators.KSD
    • pymc.Stein
    • pymc.adadelta
    • pymc.adagrad
    • pymc.adagrad_窗口
    • pymc.adam
    • pymc.adamax
    • pymc.应用_动量
    • pymc.应用_涅斯捷罗夫_动量
    • pymc.momentum
    • pymc.nesterov_momentum
    • pymc.norm_约束
    • pymc.rmsprop
    • pymc.sgd
    • pymc.total_norm_constraint
  • 顺序蒙特卡罗
    • pymc.smc.sample_smc
    • pymc.smc.kernels.SMC_KERNEL
    • pymc.smc.kernels.IMH
    • pymc.smc.kernels.MH
  • 数据
    • pymc.ConstantData
    • pymc.MutableData
    • pymc.获取数据
    • pymc.Data
    • pymc.GeneratorAdapter
    • pymc.Minibatch
  • 常微分方程 (ODEs)
    • pymc.ode.DifferentialEquation
  • 概率
    • pymc.logp
    • pymc.logcdf
    • pymc.icdf
    • pymc.logprob.conditional_logp
    • pymc.logprob.变换后的条件对数概率
  • 调优
    • pymc.find_hessian
    • pymc.find_MAP
  • 数学
    • pymc.expand_packed_triangular
    • pymc.logit
    • pymc.invlogit
    • pymc.probit
    • pymc.invprobit
    • pymc.logsumexp
    • pymc.math.dot
    • pymc.math.constant
    • pymc.math.flatten
    • pymc.math.zeros_like
    • pymc.math.ones_like
    • pymc.math.stack
    • pymc.math.concatenate
    • pymc.math.sum
    • pymc.math.prod
    • pymc.math.lt
    • pymc.math.gt
    • pymc.math.le
    • pymc.math.ge
    • pymc.math.eq
    • pymc.math.neq
    • pymc.math.switch
    • pymc.math.clip
    • pymc.math.where
    • pymc.math.and
    • pymc.math.或_
    • pymc.math.abs
    • pymc.math.exp
    • pymc.math.log
    • pymc.math.cos
    • pymc.math.sin
    • pymc.math.tan
    • pymc.math.cosh
    • pymc.math.sinh
    • pymc.math.tanh
    • pymc.math.sqr
    • pymc.math.sqrt
    • pymc.math.erf
    • pymc.math.erfinv
    • pymc.math.dot
    • pymc.math.maximum
    • pymc.math.minimum
    • pymc.math.sgn
    • pymc.math.ceil
    • pymc.math.floor
    • pymc.math.矩阵_逆
    • pymc.math.sigmoid
    • pymc.math.logsumexp
    • pymc.math.invlogit
    • pymc.math.logit
  • PyTensor 工具
    • pymc.编译_pymc
    • pymc.梯度
    • pymc.hessian
    • pymc.hessian_diag
    • pymc.jacobian
    • pymc.inputvars
    • pymc.连续输入
    • pymc.floatX
    • pymc.intX
    • pymc.smartfloatX
    • pymc.CallableTensor
    • pymc.join_非共享输入
    • pymc.make_shared_replacements
    • pymc.生成器
    • pymc.转换_观察_数据
  • shape_utils
    • pymc.distributions.shape_utils.to_tuple
    • pymc.distributions.shape_utils.rv_size_is_none
    • pymc.distributions.shape_utils.change_dist_size
  • 存储后端
    • pymc.to_inference_data
    • pymc.预测_到_推理_数据
    • pymc.backends.NDArray
    • pymc.backends.base.BaseTrace
    • pymc.backends.base.MultiTrace
  • 其他工具
    • pymc.计算_对数_似然
    • pymc.find_constrained_prior
    • pymc.DictToArrayBijection
  • API
  • 采样器
  • pymc.MultivariateNormalProposal

pymc.MultivariateNormalProposal#

class pymc.MultivariateNormalProposal(s)[源代码]#

方法

MultivariateNormalProposal.__init__(s)

上一页

pymc.Metropolis.stop_tuning

下一页

pymc.MultivariateNormalProposal.__init__
On this page
  • MultivariateNormalProposal
显示源代码
Support PyMC

© Copyright 2021, The PyMC Development Team.

由 Sphinx 6.2.1创建。

Built with the PyData Sphinx Theme 0.13.3.