V10/vol2/index/xchap5.idx

additive model<tab>105
additive model<tab>105
backfitting algorithm<tab>105
additive model<tab>105
backfitting algorithm<tab>105
estimating equations<tab>105
linear system<tab>105
reproducing-kernel hilbert-spaces<tab>105
estimating equations<tab>105
backfitting algorithm<tab>105
 concurvity<tab>105
standard-error bands<tab>105
generalized additive model<tab>105
additive model<tab>106
estimating equations<tab>106
additive model<tab>106
estimating equations<tab>106
additive model<tab>106
backfitting algorithm<tab>106
backfitting algorithm<tab>106
constant term<tab>106
scatterplot smoother<tab>106
additive model<tab>106
conditional expectation operators<tab>106
conditional expectation<tab>106
reproducing-kernel hilbert-spaces<tab>106
hilbert space<tab>106
conditional expectation<tab>107
orthogonal projection<tab>107
estimating equations<tab>108
linear system<tab>108
conditional expectation operators<tab>108
linear system<tab>108
 smoother matrix<tab>108
smoothing spline<tab>108
kernel smoother<tab>108
backfitting algorithm<tab>108
conditional expectation<tab>108
linear scatterplot smoother<tab>108
smoother matrix<tab>108
estimating equations<tab>108
smoothing spline<tab>109
orthogonal projection<tab>109
estimating equations<tab>109
cubic smoothing spline<tab>110
penalized least-squares criterion<tab>110
smoother matrix<tab>110
additive model<tab>110
smoother matrix<tab>111
cubic smoothing spline<tab>111
estimating equations<tab>111
penalized least-squares criterion<tab>111
estimating equations<tab>111
reproducing-kernel hilbert-spaces<tab>111
additive model<tab>111
hilbert space<tab>112
 representers of evaluation<tab>112
additive model<tab>113
cubic smoothing spline<tab>113
estimating equations<tab>113
estimating equations<tab>114
backfitting algorithm<tab>114
additive model<tab>114
estimating equations<tab>114
backfitting algorithm<tab>115
starting functions<tab>115
starting functions<tab>115
starting functions<tab>115
additive model<tab>115
 concurvity<tab>115
collinearity<tab>115
smoother matrix<tab>115
centered smoother<tab>115
additive model<tab>115
orthogonal projection<tab>115
estimating equations<tab>115
orthogonal projection<tab>115
backfitting converges<tab>115
log-linear models<tab>116
estimating equations<tab>116
backfitting converges<tab>116
gram-schmidt method<tab>116
gram-schmidt method<tab>116
gram-schmidt method<tab>116
backfitting algorithm<tab>116
starting functions<tab>117
additive model<tab>117
semi-parametric model<tab>117
backfitting algorithm<tab>117
smoother matrix<tab>118
weight matrix<tab>118
estimating equations<tab>118
unique solution<tab>118
additive model<tab>118
backfitting algorithm<tab>118
starting functions<tab>118
estimating equations<tab>119
unique solution<tab>119
backfitting algorithm<tab>119
cubic smoothing spline<tab>119
smoothing spline<tab>119
 concurvity<tab>119
estimating equations<tab>119
backfitting algorithm<tab>120
fitted value<tab>120
starting functions<tab>120
cubic smoothing spline<tab>120
smoother matrix<tab>120
backfitting solutions<tab>120
starting functions<tab>120
backfitting solutions<tab>120
estimating equations<tab>120
symmetric smoother matrices<tab>120
estimating equations<tab>121
estimating equations<tab>121
estimating equations<tab>121
 concurvity space<tab>121
concurvity space<tab>121
cubic smoothing spline<tab>122
exact concurvity<tab>122
backfitting algorithm<tab>122
backfitting converges<tab>122
unique solution<tab>122
starting functions<tab>122
backfitting converges<tab>122
starting functions<tab>122
smoothing spline<tab>122
backfitting algorithm<tab>122
cubic smoothing spline<tab>122
surface smoother<tab>122
estimating equations<tab>122
unique solution<tab>122
backfitting algorithm<tab>122
unique solution<tab>122
estimating equations<tab>122
backfitting algorithm<tab>122
estimating equations<tab>123
 concurvity<tab>123
estimating equations<tab>123
concurvity space<tab>123
backfitting converges<tab>123
unique solution<tab>123
starting functions<tab>123
concurvity space<tab>123
backfitting converges<tab>123
starting functions<tab>123
weighted additive model<tab>123
penalized least-squares criterion<tab>123
smoothing parameter<tab>123
estimating equations<tab>123
smoothing spline<tab>123
modified backfitting algorithm<tab>124
backfitting algorithm<tab>124
 shrinking<tab>124
cubic smoothing spline<tab>124
 concurvity<tab>124
starting functions<tab>124
modified backfitting algorithm<tab>124
orthogonal projection<tab>124
modified backfitting algorithm<tab>124
modified backfitting algorithm<tab>125
modified backfitting algorithm<tab>125
modified backfitting algorithm<tab>125
estimating equations<tab>125
estimating equations<tab>125
smoothing spline<tab>126
cubic smoothing spline<tab>126
hat matrix<tab>126
cubic smoothing spline<tab>126
multiple linear regression<tab>126
estimating equations<tab>126
estimating equations<tab>126
estimating equations<tab>126
additive model<tab>126
semi-parametric model<tab>127
standard-error bands<tab>127
diagonal elements<tab>127
backfitting algorithm<tab>127
smoothing spline<tab>127
additive model<tab>127
additive model<tab>127
posterior covariance<tab>128
additive model<tab>128
prior covariance<tab>128
fitted value<tab>128
exact concurvity<tab>128
balanced additive<tab>128
smoothing parameter<tab>128
additive model<tab>129
additive model<tab>129
posterior mean<tab>129
posterior mean<tab>129
posterior covariance<tab>129
smoothing parameter<tab>129
additive model<tab>130
ace algorithm<tab>130
additive model<tab>130
response transformation<tab>130
time series<tab>130
additive model<tab>130
additive model<tab>130
semi-parametric model<tab>130
additive model<tab>131
optimal rate<tab>131
additive model<tab>131
additive model<tab>131
penalized least-squares criterion<tab>131
estimating equations<tab>131
orthogonal projection<tab>131
orthogonal projection<tab>131
estimating equations<tab>132
semi-parametric model<tab>132
backfitting converges<tab>132
estimating equations<tab>132
estimating equations<tab>132
modified backfitting algorithm<tab>132
additive model<tab>132
smoother matrix<tab>133
kernel smoother<tab>133
posterior mean<tab>133
additive model<tab>133
smoothing spline<tab>133
basis function<tab>133
smoothing spline<tab>133
additive model<tab>133
additive model<tab>133
fitted function<tab>133
cubic smoothing spline<tab>133
additive model<tab>133
semi-parametric model<tab>133
constant term<tab>133
balanced additive<tab>134
additive model<tab>134
smoothing spline<tab>134
estimating equations<tab>135